Hub Library

Main Track

"Serving Each User": Supporting Different Eating Goals Through a Multi-List Recommender Interface

Explainable Recommender Systems
Evaluation Metrics and Studies
Health RS
UI for RS
User-Centric Evaluation
User Interface Design
User Experience Research
See More

Alain Starke, Wageningen University & Research | Edis Asotic, University of Bergen | Christoph Trattner, University of Bergen

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Live Session
28 Sep
 
14:45
CEST
Session 4: Users in Focus
Add to Calendar 2021-09-28 02:45 pm 2021-09-28 03:30 pm Europe/Amsterdam Session 4: Users in Focus Session 4: Users in Focus is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Explainable Recommender Systems
Evaluation Metrics and Studies
Health RS
UI for RS
User-Centric Evaluation
User Experience Research
User Interface Design
Reproducibility

A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models

See More

Alexander Dallmann, University of Würzburg | Daniel Zoller, University of Würzburg | Andreas Hotho, University of Würzburg

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Live Session
29 Sep
 
16:00
CEST
Session 8: Algorithmic Advances
Add to Calendar 2021-09-29 04:00 pm 2021-09-29 05:30 pm Europe/Amsterdam Session 8: Algorithmic Advances Session 8: Algorithmic Advances is taking place on the RecSys Hub. Https://recsyshub.org
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Late Breaking Results

A Constrained Optimization Approach for Calibrated Recommendations

See More

Sinan Seymen, Northwestern University | Himan Abdollahpouri, Northwestern University | Edward C. Malthouse, Northwestern University

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Late Breaking Results
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Late Breaking Results Virtual Poster Session B: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Demo

A Low-Code Tool Supporting the Development of Recommender Systems

See More

Claudio Di Sipio, Università degli Studi dell''Aquila | Juri Di Rocco, Università degli Studi Dell''Aquila | Davide Di Ruscio, Università degli Studi dell''Aquila | Dr. Phuong Thanh Nguyen, Università degli Studi dell''Aquila

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Demos
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Demos Virtual Poster Session D: Demos is taking place on the RecSys Hub. Https://recsyshub.org
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Main Track

A Payload Optimization Method for Federated Recommender Systems

Algorithms
Novel Applications
Novel ML Approaches
Real-world application
See More

Farwa K. Khan, National University of Computer and Emerging Sciences | Adrian Flanagan, Huawei Technologies Helsinki | Kuan Eeik Tan, Huawei Technologies Helsinki| Zareen Alamgir, National University of Computer and Emerging Technology | Muhammad Ammad-ud-din, Huawei Technologies Helsinki

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Live Session
30 Sep
 
16:00
CEST
Session 11: Practical Issues
Add to Calendar 2021-09-30 04:00 pm 2021-09-30 05:30 pm Europe/Amsterdam Session 11: Practical Issues Session 11: Practical Issues is taking place on the RecSys Hub. Https://recsyshub.org
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Algorithms
Novel Applications
Novel ML Approaches
Real-world application
Industry

AIR: Personalized Product Recommender System for Nike’s Digital Transformation

Applications
Case studies
Collaborative Filtering
Context-Aware Recommendation
Machine Learning
System Design
Product RS (Online)
See More

Steven D Essinger, Nike, Inc. | Dave Huber, Nike, Inc. | Daniel T Tang, Nike, Inc.

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Live Session
27 Sep
 
20:00
CEST
Industry Talks Sponsored by Zalando
Add to Calendar 2021-09-27 08:00 pm 2021-09-27 08:45 pm Europe/Amsterdam Industry Talks Sponsored by Zalando Industry Talks Sponsored by Zalando is taking place on the RecSys Hub. Https://recsyshub.org
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Applications
Case studies
Collaborative Filtering
Context-Aware Recommendation
Machine Learning
Product RS (Online)
System Design
Main Track

Accordion: A Trainable Simulator for Long-Term Interactive Systems

Algorithms
Explainable Recommender Systems
Novel ML Approaches
User Modeling
See More

James McInerney, Netflix Research | Ehtsham Elahi, Netflix | Justin Basilico, Netflix | Yves Raimond, Netflix | Tony Jebara, Spotify

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Live Session
27 Sep
 
18:00
CEST
Session 3: Metrics and Evaluation
Add to Calendar 2021-09-27 06:00 pm 2021-09-27 07:30 pm Europe/Amsterdam Session 3: Metrics and Evaluation Session 3: Metrics and Evaluation is taking place on the RecSys Hub. Https://recsyshub.org
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Algorithms
Explainable Recommender Systems
Novel ML Approaches
User Modeling
Late Breaking Results

An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction

See More

Conor O'Brien, Twitter | Kin Sum Liu, Twitter | James Neufeld, Twitter | Rafael Barreto, Twitter | Jonathan J Hunt, Twitter

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Late Breaking Results
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Late Breaking Results Virtual Poster Session B: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes

Case studies
Ethical Concerns
Evaluation Metrics and Studies
Fairness
Filter Bubbles
Societal / Economic Impact
See More

Matus Tomlein, Kempelen Institute of Intelligent Technologies | Branislav Pecher, Kempelen Institute of Intelligent Technologies | Jakub Simko, Kempelen Institute of Intelligent Technologies | Ivan Srba, Kempelen Institute of Intelligent Technologies | Robert Moro, Kempelen Institute of Intelligent Technologies | Elena Stefancova, Kempelen Institute of Intelligent Technologies | Michal Kompan, Kempelen Institute of Intelligent Technologies | Andrea Hrckova, Kempelen Institute of Intelligent Technologies | Juraj Podrouzek, Kempelen institute of intelligent technologies | Maria Bielikova, Kempelen Institute of Intelligent Technologies

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Live Session
27 Sep
 
14:45
CEST
Session 1: Echo Chambers and Filter Bubbles
Add to Calendar 2021-09-27 02:45 pm 2021-09-27 03:30 pm Europe/Amsterdam Session 1: Echo Chambers and Filter Bubbles Session 1: Echo Chambers and Filter Bubbles is taking place on the RecSys Hub. Https://recsyshub.org
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Case studies
Ethical Concerns
Evaluation Metrics and Studies
Fairness
Filter Bubbles
Societal / Economic Impact
Late Breaking Results

An Interpretable Recommendation Model for Gerontological Care

See More

Andre Paulino de Lima, University of São Paulo | Laurentino Augusto Dantas, University of São Paulo | Marcelo Garcia Manzato, University of São Paulo | Maria Pimentel, University of São Paulo | Brunela Orlandi, Federal University of Western of Bahia (UFOB) | Paula Castro, Federal University of São Carlos (UFSCar)

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Late Breaking Results
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Late Breaking Results Virtual Poster Session A: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Doctoral Symposium

An Ontology-based Knowledgebase for User Profile and Garment Features in Apparel Recommender Systems

See More

Bolanle Olufisayo Dahunsi, Design, Housing, & Apparel University of Minnesota

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Doctoral Symposium Posters
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Doctoral Symposium Posters Virtual Poster Session A: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?

See More

Oleg Lesota, Johannes Kepler University and Linz Institute of Technology | Alessandro Melchiorre, Linz Institute of Technology | Navid Rekabsaz, Johannes Kepler University Linz and Linz Institute of Technology | Stefan Brandl, Johannes Kepler University Linz | Dominik Kowald, Graz University of Technology | Elisabeth Lex, Graz University of Technology | Markus Schedl, Johannes Kepler University Linz and Linz Institute of Technology

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Late Breaking Results
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Late Breaking Results Virtual Poster Session D: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
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Doctoral Symposium

Argument-based generation and explanation of recommendations

See More

Andrés Segura-Tinoco, Universidad Autónoma de Madrid

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Doctoral Symposium Posters
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Doctoral Symposium Posters Virtual Poster Session A: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Auditing the Effect of Social Network Recommendations on Polarization in Geometrical Ideological Spaces

See More

Pedro Ramaciotti Morales, Sciences Po | Jean-Philippe Cointet, Sciences Po

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Late Breaking Results
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Late Breaking Results Virtual Poster Session B: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Automatic Collection Creation and Recommendation

See More

Sanidhya Singal, Airtel | Piyush Singh, Airtel | Manjeet Dahiya, Airtel

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Late Breaking Results
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Late Breaking Results Virtual Poster Session C: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Baby Shark to Barracuda: Analyzing Children’s Music Listening Behavior

See More

Lawrence Spear, Boise State University | Ashlee Milton, Boise State University | Garrett Allen, Boise State University | Amifa Raj, Boise State University | Michael Green, Boise State University | Michael D Ekstrand, Boise State University | Maria Soledad Pera, Boise State University

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Late Breaking Results
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Late Breaking Results Virtual Poster Session D: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Doctoral Symposium

Biases in Recommendation System

See More

Saumya Bhadani, University of South Florida

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Doctoral Symposium Posters
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Doctoral Symposium Posters Virtual Poster Session B: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction

Algorithms
Novel ML Approaches
See More

Zhenrui Yue, Technical University of Munich | Zhankui He, UC San Diego | Huimin Zeng, Technical University of Munich | Julian McAuley, UC San Diego

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Live Session
27 Sep
 
16:00
CEST
Session 2: Theory and Practice
Add to Calendar 2021-09-27 04:00 pm 2021-09-27 05:30 pm Europe/Amsterdam Session 2: Theory and Practice Session 2: Theory and Practice is taking place on the RecSys Hub. Https://recsyshub.org
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Algorithms
Novel ML Approaches
Industry

Boosting Local Recommendations With Partially Trained Global Model

Applications
Case studies
Collaborative Filtering
Context-Aware Recommendation
Machine Learning
Privacy and Security
See More

Yuxi Zhang, Salesforce | Kexin Xie, Salesforce

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Live Session
30 Sep
 
14:00
CEST
Session 10: Applications-Driven Advances
Add to Calendar 2021-09-30 02:00 pm 2021-09-30 03:30 pm Europe/Amsterdam Session 10: Applications-Driven Advances Session 10: Applications-Driven Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Case studies
Collaborative Filtering
Context-Aware Recommendation
Machine Learning
Privacy and Security
Industry

Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha

See More

Jakub Zavrel, Zeta Alpha | Artem Grotov, Zeta Alpha | Jonathan Mitnik, Zeta Alpha

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Industry Posters
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Industry Posters Virtual Poster Session C: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Building public service recommenders: Logbook of a journey

Applications
Fairness and Ethics in RS
RS in News and Media
Societal / Economic Impact
Social RS
System Design
See More

Christina Boididou, BBC | Di Sheng, BBC | Felix J Mercer Moss, Datalab BBC | Alessandro Piscopo, BBC

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Live Session
28 Sep
 
14:45
CEST
Session 4: Users in Focus
Add to Calendar 2021-09-28 02:45 pm 2021-09-28 03:30 pm Europe/Amsterdam Session 4: Users in Focus Session 4: Users in Focus is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Fairness and Ethics in RS
RS in News and Media
Societal / Economic Impact
Social RS
System Design
Main Track

Burst-induced Multi-Armed Bandit for Learning Recommendation

Algorithms
Novel ML Approaches
Product RS (Online)
Real-world application
RS in News and Media
Social RS
See More

Rodrigo Alves, TU Kaiserslautern | Antoine Ledent, TU Kaiserslautern | Marius Kloft, TU Kaiserslautern

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Live Session
29 Sep
 
16:00
CEST
Session 8: Algorithmic Advances
Add to Calendar 2021-09-29 04:00 pm 2021-09-29 05:30 pm Europe/Amsterdam Session 8: Algorithmic Advances Session 8: Algorithmic Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Novel ML Approaches
Product RS (Online)
Real-world application
RS in News and Media
Social RS
Industry

Challenges Experienced in Public Service Media Recommendation Systems

Applications
Case studies
Evaluation of RS
Explainable RS
RS in News and Media
System Design
Societal / Economic Impact
See More

Andreas Grün, ZDF | Xenija Neufeld, Accso - Accelerated Solutions GmbH

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Live Session
29 Sep
 
18:00
CEST
Session 9: Privacy, Fairness, Bias
Add to Calendar 2021-09-29 06:00 pm 2021-09-29 07:30 pm Europe/Amsterdam Session 9: Privacy, Fairness, Bias Session 9: Privacy, Fairness, Bias is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Case studies
Evaluation of RS
Explainable RS
RS in News and Media
Societal / Economic Impact
System Design
Main Track

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders

Case studies
Novel Applications
Real-world application
RS Datasets
See More

Guillaume Salha-Galvan, Deezer | Romain Hennequin, Deezer | Benjamin Chapus, Deezer | Viet-Anh Tran, Deezer | Michalis Vazirgiannis, LIX Ecole Polytechnique

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Live Session
30 Sep
 
18:00
CEST
Session 12: Real-World Concerns
Add to Calendar 2021-09-30 06:00 pm 2021-09-30 07:30 pm Europe/Amsterdam Session 12: Real-World Concerns Session 12: Real-World Concerns is taking place on the RecSys Hub. Https://recsyshub.org
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Case studies
Novel Applications
Real-world application
RS Datasets
Demo

Connecting Students with Research Advisors Through User-Controlled Recommendation

See More

Behnam Rahdari, University of Pittsburgh | Peter Brusilovsky, University of Pittsburgh | Alireza Javadian Sabet, School of Computing and Information, University of Pittsburgh

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Demos
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Demos Virtual Poster Session B: Demos is taking place on the RecSys Hub. Https://recsyshub.org
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Industry

Content-based book recommendations

See More

Niels Bogaards, Bookarang | Frederique Schut, Bookarang

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Industry Posters
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Industry Posters Virtual Poster Session B: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
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Demo

DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions

See More

Michael Färber, Karlsruhe Institute of Technology (KIT) | Ann-Kathrin Leisinger, Karlsruhe Institute of Technology (KIT)

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Demos
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Demos Virtual Poster Session C: Demos is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Debiased Explainable Pairwise Ranking from Implicit Feedback

Algorithms
Explainable Recommender Systems
Product RS (Online)
Societal / Economic Impact
See More

Khalil Damak, University of Louisville | Sami Khenissi, University of Louisville  | Olfa Nasraoui, University of Louisville

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Live Session
29 Sep
 
18:00
CEST
Session 9: Privacy, Fairness, Bias
Add to Calendar 2021-09-29 06:00 pm 2021-09-29 07:30 pm Europe/Amsterdam Session 9: Privacy, Fairness, Bias Session 9: Privacy, Fairness, Bias is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Explainable Recommender Systems
Product RS (Online)
Societal / Economic Impact
Main Track

Debiased Off-Policy Evaluation for Recommender Systems

Algorithms
Case studies
Context-Aware Recommendation
Evaluation Metrics and Studies
Real-world application
RS in News and Media
See More

Yusuke Narita, Yale University | Shota Yasui, AILab CyberAgent, Inc. | Kohei Yata, Yale University

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Live Session
30 Sep
 
14:00
CEST
Session 10: Applications-Driven Advances
Add to Calendar 2021-09-30 02:00 pm 2021-09-30 03:30 pm Europe/Amsterdam Session 10: Applications-Driven Advances Session 10: Applications-Driven Advances is taking place on the RecSys Hub. Https://recsyshub.org
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Algorithms
Case studies
Context-Aware Recommendation
Evaluation Metrics and Studies
Real-world application
RS in News and Media
Main Track

Denoising User-aware Memory Network for Recommendation

Algorithms
Context-Aware Recommendation
Novel ML Approaches
Real-world application
See More

Zhi Bian, Alibaba Group | Shaojun Zhou, Alibaba Group | Hao Fu, Alibaba Group | Qihong Yang, Alibaba Group | Zhenqi Sun, Alibaba Group | Junjie Tang, Alibaba Group | Guiquan Liu, University of science and technology of China | Kaikui Liu, Alibaba Group | Xiaolong Li, Alibaba Group

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Live Session
30 Sep
 
16:00
CEST
Session 11: Practical Issues
Add to Calendar 2021-09-30 04:00 pm 2021-09-30 05:30 pm Europe/Amsterdam Session 11: Practical Issues Session 11: Practical Issues is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Context-Aware Recommendation
Novel ML Approaches
Real-world application
Late Breaking Results

Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

See More

Thi Ngoc Trang Tran, Institute of Software Technology, Graz University of Technology | Viet Man Le, Institute of Software Technology, Graz University of Technology | Muesluem Atas, Institute of Software Technology, Graz University of Technology | Alexander Felfernig, Institute of Software Technology, Graz University of Technology | Martin Stettinger, Institute of Software Technology, Graz University of Technology | Andrei Popescu, Institute of Software Technology, Graz University of Technology

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Late Breaking Results
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Late Breaking Results Virtual Poster Session D: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Drug Discovery as a Recommendation Problem: Challenges and Complexities in Biological Decisions

Applications
Case studies
Explainable RS
Health RS
Novel Applications
See More

Anna Gogleva, AstraZeneca | eliseo papa, AstraZeneca | Erik Jansson, Astra Zeneca | Greet De Baets, AstraZeneca

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Live Session
30 Sep
 
16:00
CEST
Session 11: Practical Issues
Add to Calendar 2021-09-30 04:00 pm 2021-09-30 05:30 pm Europe/Amsterdam Session 11: Practical Issues Session 11: Practical Issues is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Case studies
Explainable RS
Health RS
Novel Applications
Late Breaking Results

Dynamic Graph Construction for Improving Diversity of Recommendation

See More

Rui Ye, Meituan | Yuqing Hou, Meituan | Te Lei, Meituan | Yunxing Zhang, Meituan | Qing Zhang, Meituan | Jiale Guo, Meituan | Huaiwen Wu, Meituan | Hengliang Luo, Meituan

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Late Breaking Results
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Late Breaking Results Virtual Poster Session C: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

EX3: Explainable Attribute-aware Item-set Recommendations

Explainable Recommender Systems
Product RS (Online)
Real-world application
See More

Yikun Xian, Rutgers University | Tong Zhao, Amazon | Jin Li, Amazon | Jim Chan, Amazon | Andrey Kan, Amazon | Jun Ma, Amazon | Xin Luna Dong, Amazon | Christos Faloutsos, Amazon | George Karypis, University of Minnesota | S. Muthukrishnan, Rutgers University | Yongfeng Zhang, Rutgers University

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Live Session
30 Sep
 
18:00
CEST
Session 12: Real-World Concerns
Add to Calendar 2021-09-30 06:00 pm 2021-09-30 07:30 pm Europe/Amsterdam Session 12: Real-World Concerns Session 12: Real-World Concerns is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Explainable Recommender Systems
Product RS (Online)
Real-world application
Late Breaking Results

Eigenvalue Perturbation for Item-based Recommender Systems

See More

Cesare Bernardis, Politecnico di Milano | Paolo Cremonesi, Politecnico di Milano

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Late Breaking Results
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Late Breaking Results Virtual Poster Session A: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Demo

EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations

See More

Tung Vuong, University of Helsinki | Salvatore Andolina, University of Palermo, Palermo | Giulio Jacucci, University of Helsinki | Pedram Daee, Aalto University, Helsinki | Khalil Klouche, University of Helsinki | Mats Sjöberg, IT Center for Science, Espoo | Tuukka Ruotsalo, University of Helsinki and University of Copenhagen | Samuel Kaski, Aalto University, Helsinki and University of Manchester

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Demos
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Demos Virtual Poster Session B: Demos is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Estimating and Penalizing Preference Shifts in Recommender Systems

See More

Micah Carroll, UC Berkeley | Dylan Hadfield-Menell, UC Berkeley | Stuart Russell, UC Berkeley | Anca Dragan, UC Berkeley

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Late Breaking Results
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Late Breaking Results Virtual Poster Session B: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Evaluating the Robustness of Off-Policy Evaluation

Case studies
Evaluation Metrics and Studies
Real-world application
See More

Yuta Saito, Hanjuku-kaso Co., Ltd. | Takuma Udagawa, Sony Group Corporation | Haruka Kiyohara, Tokyo Institute of Technology | Kazuki Mogi, Stanford University | Yusuke Narita, Yale University | Kei Tateno, Sony Group Corporation

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Live Session
27 Sep
 
18:00
CEST
Session 3: Metrics and Evaluation
Add to Calendar 2021-09-27 06:00 pm 2021-09-27 07:30 pm Europe/Amsterdam Session 3: Metrics and Evaluation Session 3: Metrics and Evaluation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Case studies
Evaluation Metrics and Studies
Real-world application
Industry

Exploration in Recommender Systems

Applications
Case studies
Machine Learning
RS in News and Media
See More

Minmin Chen, Google

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Live Session
27 Sep
 
16:00
CEST
Session 2: Theory and Practice
Add to Calendar 2021-09-27 04:00 pm 2021-09-27 05:30 pm Europe/Amsterdam Session 2: Theory and Practice Session 2: Theory and Practice is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Case studies
Machine Learning
RS in News and Media
Industry

FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research

See More

Simen Eide, University of Oslo and FINN.no | David S Leslie, Lancaster University | Arnoldo Frigessi, University Of Oslo | Joakim Rishaug, FINN.no | Helge Jenssen, FINN.no | Sofie Verrewaere, Schibsted Media Group

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Industry Posters
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Industry Posters Virtual Poster Session C: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing

See More

Zhaohao Lin, Shenzhen University | Weike Pan, Shenzhen University | Zhong Ming, Shenzhen University

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Late Breaking Results
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Late Breaking Results Virtual Poster Session D: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Fairness in Reviewer Recommendations at Elsevier

Affect-Aware RS
Algorithms
Applications
Educational/Career RS
Evaluation of RS
System Design
Societal / Economic Impact
Privacy and Security
Machine Learning
Fairness and Ethics in RS
See More

Daniel James Kershaw, Elsevier | Rob Koeling, Elsevier | Stephan Bourgeois, Elsevier | Antonio Trenta, Elsevier | Harriet J Muncey, Elsevier

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Live Session
29 Sep
 
18:00
CEST
Session 9: Privacy, Fairness, Bias
Add to Calendar 2021-09-29 06:00 pm 2021-09-29 07:30 pm Europe/Amsterdam Session 9: Privacy, Fairness, Bias Session 9: Privacy, Fairness, Bias is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Affect-Aware RS
Algorithms
Applications
Educational/Career RS
Evaluation of RS
Fairness and Ethics in RS
Machine Learning
Privacy and Security
Societal / Economic Impact
System Design
Main Track

Fast Multi-Step Critiquing for VAE-based Recommender Systems

Algorithms
Conversational RS
Entertainment RS
Explainable Recommender Systems
Novel Applications
Real-world application
Product RS (Online)
Novel ML Approaches
See More

Diego Antognini, Artificial Intelligence Laboratory École Polytechnique Fédérale de Lausanne | Boi Faltings, LIA EPFL

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Live Session
28 Sep
 
18:00
CEST
Session 6: Interactive Recommendation
Add to Calendar 2021-09-28 06:00 pm 2021-09-28 07:30 pm Europe/Amsterdam Session 6: Interactive Recommendation Session 6: Interactive Recommendation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Conversational RS
Entertainment RS
Explainable Recommender Systems
Novel Applications
Novel ML Approaches
Product RS (Online)
Real-world application
Main Track

Follow the guides: disentangling human and algorithmic curation in online music consumption

Algorithms
Entertainment RS
Ethical Concerns
Fairness
Filter Bubbles
User Modeling
Societal / Economic Impact
See More

Quentin Villermet, Centre Marc Bloch | Jérémie Poiroux, Centre Marc Bloch & CNRS | Manuel Moussallam, Deezer Research| Thomas Louail, CNRS | Camille Roth, Centre Marc Bloch & CNRS

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Live Session
30 Sep
 
14:00
CEST
Session 10: Applications-Driven Advances
Add to Calendar 2021-09-30 02:00 pm 2021-09-30 03:30 pm Europe/Amsterdam Session 10: Applications-Driven Advances Session 10: Applications-Driven Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Entertainment RS
Ethical Concerns
Fairness
Filter Bubbles
Societal / Economic Impact
User Modeling
Reproducibility

Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison

See More

Ahtsham Manzoor, University of Klagenfurt | Dietmar Jannach, University of Klagenfurt

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Live Session
28 Sep
 
18:00
CEST
Session 6: Interactive Recommendation
Add to Calendar 2021-09-28 06:00 pm 2021-09-28 07:30 pm Europe/Amsterdam Session 6: Interactive Recommendation Session 6: Interactive Recommendation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Demo

Generic Automated Lead Ranking in Dynamics CRM

See More

Royi Ronen, Microsoft | Hilik Berezin, Microsoft | Rotem Preizler, Microsoft | Gopal Kasturi, Microsoft | AJ Ezzour, Microsoft | Sayalee Bhanavase, Microsoft | Edan Hauon, Microsoft | Oron Nir, Microsoft

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Demos
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Demos Virtual Poster Session A: Demos is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Global-Local Item Embedding for Temporal Set Prediction

See More

Seungjae Jung, Naver R&D Center and NAVER CLOVA | Young-Jin Park, Naver R&D Center and NAVER CLOVA | Jisu Jeong, NAVER CLOVA and NAVER AI LAB | Kyung-Min Kim, NAVER CLOVA and NAVER AI LAB | Hiun Kim, NAVER CLOVA | Minkyu Kim, NAVER CLOVA | Hanock Kwak, NAVER CLOVA

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Late Breaking Results
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Late Breaking Results Virtual Poster Session A: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Hierarchical Latent Relation Modeling for Collaborative Metric Learning

Algorithms
Entertainment RS
User Modeling
See More

Viet-Anh Tran, Deezer | Guillaume Salha-Galvan, Deezer | Romain Hennequin, Deezer | Manuel Moussallam, Deezer

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Live Session
29 Sep
 
16:00
CEST
Session 8: Algorithmic Advances
Add to Calendar 2021-09-29 04:00 pm 2021-09-29 05:30 pm Europe/Amsterdam Session 8: Algorithmic Advances Session 8: Algorithmic Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Entertainment RS
User Modeling
Late Breaking Results

Horizontal Cross-Silo Federated Recommender Systems

See More

Saikishore Kalloori, ETH Zürich | Severin Klingler, Media Technology Center, ETH Zürich

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Late Breaking Results
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Late Breaking Results Virtual Poster Session C: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

I want to break free! Recommending friends from outside the echo chamber

Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Novel Applications
Social RS
RS in News and Media
Real-world application
See More

Antonela Tommasel, ISISTAN, CONICET-UNICEN | Juan Manuel Rodriguez, ISISTAN, CONICET-UNICEN | Daniela Godoy, ISISTAN, CONICET-UNICEN

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Live Session
27 Sep
 
14:45
CEST
Session 1: Echo Chambers and Filter Bubbles
Add to Calendar 2021-09-27 02:45 pm 2021-09-27 03:30 pm Europe/Amsterdam Session 1: Echo Chambers and Filter Bubbles Session 1: Echo Chambers and Filter Bubbles is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Novel Applications
Real-world application
RS in News and Media
Social RS
Main Track

Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models

Algorithms
Explainable Recommender Systems
Health RS
Novel Applications
Product RS (Online)
Social RS
RS in News and Media
Real-world application
See More

Gaël Poux-Médard, ERIC Université de Lyon | Julien Velcin, ERIC Université de Lyon | Sabine Loudcher, ERIC Université de Lyon

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Live Session
28 Sep
 
16:00
CEST
Session 5: Language and Knowledge
Add to Calendar 2021-09-28 04:00 pm 2021-09-28 05:30 pm Europe/Amsterdam Session 5: Language and Knowledge Session 5: Language and Knowledge is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Explainable Recommender Systems
Health RS
Novel Applications
Product RS (Online)
Real-world application
RS in News and Media
Social RS
Late Breaking Results

Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering

See More

Yuhi Kawakami, National Institute of Informatics and The Graduate University for Advanced Studies, SOKENDAI | Mahito Sugiyama, National Institute of Informatics and The Graduate University for Advanced Studies, SOKENDAI

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Late Breaking Results
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Late Breaking Results Virtual Poster Session A: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems

Algorithms
Applications
Case studies
Entertainment RS
Explainable RS
Product RS (Online)
Fairness and Ethics in RS
See More

Hitesh Khandelwal, Facebook Inc. | Viet Ha-Thuc, Facebook Inc. | Avishek Dutta, Facebook Inc. | Yining Lu, Facebook Inc. | Nan Du, Facebook Inc. | Zhihao Li, Facebook Inc. | Qi Hu, Facebook Inc.

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Live Session
27 Sep
 
16:00
CEST
Session 2: Theory and Practice
Add to Calendar 2021-09-27 04:00 pm 2021-09-27 05:30 pm Europe/Amsterdam Session 2: Theory and Practice Session 2: Theory and Practice is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Applications
Case studies
Entertainment RS
Explainable RS
Fairness and Ethics in RS
Product RS (Online)
Main Track

KEYNOTE: Graph Neural Networks for Knowledge Representation and Recommendation

See More

Max Welling, University of Amsterdam

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Live Session
27 Sep
 
13:30
CEST
Opening Session and Keynote: Graph Neural Networks for Knowledge Representation and Recommendation
Add to Calendar 2021-09-27 01:30 pm 2021-09-27 02:45 pm Europe/Amsterdam Opening Session and Keynote: Graph Neural Networks for Knowledge Representation and Recommendation Opening Session and Keynote: Graph Neural Networks for Knowledge Representation and Recommendation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

KEYNOTE: Key Notes from Keys and Notes: Pianist Perspectives on Recommendation

See More

Cynthia Liem, Delft University of Technology

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Live Session
29 Sep
 
14:00
CEST
Keynote: Key notes from keys and notes: pianist perspectives on recommendation
Add to Calendar 2021-09-29 02:00 pm 2021-09-29 02:45 pm Europe/Amsterdam Keynote: Key notes from keys and notes: pianist perspectives on recommendation Keynote: Key notes from keys and notes: pianist perspectives on recommendation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

KEYNOTE: Regulating Recommenders

See More

Natali Helberger, University of Amsterdam

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Live Session
28 Sep
 
14:00
CEST
Keynote: Regulating Recommenders
Add to Calendar 2021-09-28 02:00 pm 2021-09-28 02:45 pm Europe/Amsterdam Keynote: Regulating Recommenders Keynote: Regulating Recommenders is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning

Algorithms
Context-Aware Recommendation
User Experience Research
See More

Xin Zhou, Google Research | Yang Li, Google Research

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Live Session
30 Sep
 
18:00
CEST
Session 12: Real-World Concerns
Add to Calendar 2021-09-30 06:00 pm 2021-09-30 07:30 pm Europe/Amsterdam Session 12: Real-World Concerns Session 12: Real-World Concerns is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Context-Aware Recommendation
User Experience Research
Main Track

Large-scale Interactive Conversational Recommendation System

Algorithms
Conversational RS
Novel ML Approaches
Product RS (Online)
System Design
See More

Ali Montazeralghaem, University of Massachusetts Amherst | James Allan, University of Massachusetts Amherst | Philip S. Thomas, University of Massachusetts Amherst

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Live Session
28 Sep
 
18:00
CEST
Session 6: Interactive Recommendation
Add to Calendar 2021-09-28 06:00 pm 2021-09-28 07:30 pm Europe/Amsterdam Session 6: Interactive Recommendation Session 6: Interactive Recommendation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Conversational RS
Novel ML Approaches
Product RS (Online)
System Design
Main Track

Learning An Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems

Algorithms
Novel ML Approaches
Real-world application
See More

Danni Peng, Nanyang Technological University | Sinno Jialin Pan, Nanyang Technological University | Jie Zhang, Nanyang Technological University | Anxiang Zeng, NTU SCSE

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Live Session
30 Sep
 
16:00
CEST
Session 11: Practical Issues
Add to Calendar 2021-09-30 04:00 pm 2021-09-30 05:30 pm Europe/Amsterdam Session 11: Practical Issues Session 11: Practical Issues is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Novel ML Approaches
Real-world application
Doctoral Symposium

Learning Dynamic Insurance Recommendations from Users' Click Sessions

See More

Simone Borg Bruun, University of Copenhagen

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Doctoral Symposium Posters
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Doctoral Symposium Posters Virtual Poster Session B: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Learning a voice-based conversational recommender using offline policy optimization

Applications
Context-Aware Recommendation
Conversational RS
Entertainment RS
Evaluation of RS
System Design
Novel Applications
Machine Learning
See More

Francois Mairesse, Amazon | Zhonghao Luo, Amazon | Tao Ye, Amazon

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Live Session
28 Sep
 
18:00
CEST
Session 6: Interactive Recommendation
Add to Calendar 2021-09-28 06:00 pm 2021-09-28 07:30 pm Europe/Amsterdam Session 6: Interactive Recommendation Session 6: Interactive Recommendation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Context-Aware Recommendation
Conversational RS
Entertainment RS
Evaluation of RS
Machine Learning
Novel Applications
System Design
Industry

Learning to Match Job Candidates Using Multilingual Bi-Encoder BERT

Applications
Case studies
Educational/Career RS
Machine Learning
System Design
See More

Dor Lavi, Randstad Groep Nederland

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Live Session
29 Sep
 
16:00
CEST
Session 8: Algorithmic Advances
Add to Calendar 2021-09-29 04:00 pm 2021-09-29 05:30 pm Europe/Amsterdam Session 8: Algorithmic Advances Session 8: Algorithmic Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Case studies
Educational/Career RS
Machine Learning
System Design
Main Track

Learning to Represent Human Motives for Goal-directed Web Browsing

Context-Aware Recommendation
Novel ML Approaches
Real-world application
User Modeling
See More

Jyun-Yu Jiang, University of California, Los Angeles | Chia-Jung Lee, Microsoft | Longqi Yang, Microsoft | Bahareh Sarrafzadeh, Microsoft | Brent Hecht, Northwestern University | Jaime Teevan, Microsoft

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Live Session
30 Sep
 
14:00
CEST
Session 10: Applications-Driven Advances
Add to Calendar 2021-09-30 02:00 pm 2021-09-30 03:30 pm Europe/Amsterdam Session 10: Applications-Driven Advances Session 10: Applications-Driven Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Context-Aware Recommendation
Novel ML Approaches
Real-world application
User Modeling
Doctoral Symposium

Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions

See More

Pan Li, New York University

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Doctoral Symposium Posters
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Doctoral Symposium Posters Virtual Poster Session C: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Local Factor Models for Large-Scale Inductive Recommendation

Algorithms
Novel ML Approaches
User-Centric Evaluation
See More

Longqi Yang, Microsoft | Tobias Schnabel, Microsoft | Paul N. Bennett, Microsoft | Susan Dumais, Microsoft

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Live Session
29 Sep
 
14:45
CEST
Session 7: Scalable Performance
Add to Calendar 2021-09-29 02:45 pm 2021-09-29 03:30 pm Europe/Amsterdam Session 7: Scalable Performance Session 7: Scalable Performance is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Novel ML Approaches
User-Centric Evaluation
Main Track

Matrix Factorization for Collaborative Filtering Is Just Solving an Adjoint Latent Dirichlet Allocation Model After All

Algorithms
Explainable Recommender Systems
Novel ML Approaches
Real-world application
See More

Florian Wilhelm, inovex GmbH

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Live Session
27 Sep
 
16:00
CEST
Session 2: Theory and Practice
Add to Calendar 2021-09-27 04:00 pm 2021-09-27 05:30 pm Europe/Amsterdam Session 2: Theory and Practice Session 2: Theory and Practice is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Explainable Recommender Systems
Novel ML Approaches
Real-world application
Doctoral Symposium

Measuring and Mitigating Bias and Harm in Personalized Advertising

See More

Muhammad Ali, Northeastern University

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Doctoral Symposium Posters
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Doctoral Symposium Posters Virtual Poster Session C: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Mitigating Confounding Bias in Recommendation via Information Bottleneck

Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Novel ML Approaches
See More

Dugang Liu, Shenzhen University | Pengxiang Cheng, Huawei Noah’s Ark Lab | Hong Zhu, Huawei Noah’s Ark Lab | Zhenhua Dong. Huawei Noah’s Ark Lab | Xiuqiang He, Huawei Noah’s Ark Lab | Weike Pan, Shenzhen University | Zhong Ming, Shenzhen University

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Live Session
29 Sep
 
18:00
CEST
Session 9: Privacy, Fairness, Bias
Add to Calendar 2021-09-29 06:00 pm 2021-09-29 07:30 pm Europe/Amsterdam Session 9: Privacy, Fairness, Bias Session 9: Privacy, Fairness, Bias is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Novel ML Approaches
Doctoral Symposium

Modeling Users and Items for Recommenders: There Is More than Semantics

See More

Mete Sertkan, E-Commerce TU Wien

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Doctoral Symposium Posters
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Doctoral Symposium Posters Virtual Poster Session D: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Demo

Multi-Step Critiquing User Interface for Recommender Systems

See More

Diana Andreea Petrescu, EPFL | Diego Antognini, École Polytechnique Fédérale de Lausanne | Boi Faltings, EPFL

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Demos
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Demos Virtual Poster Session B: Demos is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Demo

NU:BRIEF – A Privacy-aware Newsletter Personalization Engine for Publishers

See More

Ernesto Diaz-Aviles, recsyslabs and University College Dublin (UCD) | Claudia Orellana-Rodriguez, recsyslabs and University College Dublin (UCD) | Igor Brigadir, recsyslabs and University College Dublin (UCD) | Reshma Narayanan Kutty, recsyslabs and University College Dublin (UCD)

View on ACM Digital Library
Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Demos
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Demos Virtual Poster Session A: Demos is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Negative Interactions for Improved Collaborative-Filtering: Don’t go Deeper, go Higher

Algorithms
Novel ML Approaches
See More

Harald Steck, Netflix | Dawen Liang, Netflix, Inc.

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Live Session
27 Sep
 
16:00
CEST
Session 2: Theory and Practice
Add to Calendar 2021-09-27 04:00 pm 2021-09-27 05:30 pm Europe/Amsterdam Session 2: Theory and Practice Session 2: Theory and Practice is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Novel ML Approaches
Doctoral Symposium

Neural Basket Embedding for Sequential Recommendation

See More

Vojtěch Vančura, Faculty of Information Technology Czech Technical University

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Doctoral Symposium Posters
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Doctoral Symposium Posters Virtual Poster Session D: Doctoral Symposium Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Next-item Recommendations in Short Sessions

Algorithms
Product RS (In-Store)
Product RS (Online)
User Modeling
See More

Wenzhuo Song, Jilin University | Shoujin Wang, Macquarie University | Yan Wang, Macquarie University | Shengsheng Wang, Jilin University

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Live Session
29 Sep
 
16:00
CEST
Session 8: Algorithmic Advances
Add to Calendar 2021-09-29 04:00 pm 2021-09-29 05:30 pm Europe/Amsterdam Session 8: Algorithmic Advances Session 8: Algorithmic Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Product RS (In-Store)
Product RS (Online)
User Modeling
Industry

Offline Evaluation Standards for Recommender Systems

See More

Chin Lin Wong, AIPS Seek | Diego De Oliveira, AIPS Seek | Farhad Zafari, AIPS Seek | Fernando Mourão, AIPS Seek | Rafael Colares, AIPS Seek | Sabir Ribas, AIPS Seek

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Industry Posters
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Industry Posters Virtual Poster Session B: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Online Evaluation Methods for the Causal Effect of Recommendations

Algorithms
Evaluation Metrics and Studies
Product RS (Online)
See More

Masahiro Sato, independent researcher

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Live Session
27 Sep
 
18:00
CEST
Session 3: Metrics and Evaluation
Add to Calendar 2021-09-27 06:00 pm 2021-09-27 07:30 pm Europe/Amsterdam Session 3: Metrics and Evaluation Session 3: Metrics and Evaluation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Evaluation Metrics and Studies
Product RS (Online)
Industry

Online Learning for Recommendations at Grubhub

Algorithms
Applications
Case studies
Deep Learning RS
Machine Learning
System Design
Product RS (Online)
Novel Applications
See More
Live Session
27 Sep
 
20:00
CEST
Industry Talks Sponsored by Zalando
Add to Calendar 2021-09-27 08:00 pm 2021-09-27 08:45 pm Europe/Amsterdam Industry Talks Sponsored by Zalando Industry Talks Sponsored by Zalando is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Applications
Case studies
Deep Learning RS
Machine Learning
Novel Applications
Product RS (Online)
System Design
Late Breaking Results

Optimizing the Selection of Recommendation Carousels with Quantum Computing

See More

Maurizio Ferrari Dacrema, Politecnico di Milano | Nicolò Felicioni, Politecnico di Milano | Paolo Cremonesi, Politecnico di Milano

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Late Breaking Results
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Late Breaking Results Virtual Poster Session B: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Page-level Optimization of e-Commerce Item Recommendations

Case studies
Novel Applications
Product RS (Online)
Real-world application
System Design
User Modeling
See More

Chieh Lo, eBay Inc | Hongliang Yu, eBay Inc. | Xin Yin, eBay, Inc | Krutika Shetty, eBay Inc | Changchen He, eBay Inc | Kathy Hu, eBay Inc | Justin M Platz, eBay Inc. | Adam Ilardi, eBay Inc | Sriganesh Madhvanath, eBay Inc

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Live Session
30 Sep
 
18:00
CEST
Session 12: Real-World Concerns
Add to Calendar 2021-09-30 06:00 pm 2021-09-30 07:30 pm Europe/Amsterdam Session 12: Real-World Concerns Session 12: Real-World Concerns is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Case studies
Novel Applications
Product RS (Online)
Real-world application
System Design
User Modeling
Main Track

Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation

Algorithms
Conversational RS
Novel ML Approaches
Product RS (Online)
See More

Yaxiong Wu, University of Glasgow | Craig Macdonald, University of Glasgow | Iadh Ounis, University of Glasgow

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Live Session
28 Sep
 
18:00
CEST
Session 6: Interactive Recommendation
Add to Calendar 2021-09-28 06:00 pm 2021-09-28 07:30 pm Europe/Amsterdam Session 6: Interactive Recommendation Session 6: Interactive Recommendation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Conversational RS
Novel ML Approaches
Product RS (Online)
Industry

Personalised Outfit Recommendations: Use Cases, Challenges and Opportunities

See More

Nick Landia, Dressipi

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Industry Posters
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Industry Posters Virtual Poster Session B: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Personalizing Peloton: Combining Rankers and Filters To Balance Engagement and Business Goals

See More

Shayak Banerjee, Personalization Team Peloton, Inc. | Arnab Bhadury, Personalization Team Peloton Interactive, Inc. | Nilothpal Talukder, Personalization Team Peloton Interactive, Inc. | Santosh Thammana, Personalization Team Peloton Interactive, Inc.

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Industry Posters
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Industry Posters Virtual Poster Session C: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Pessimistic Reward Models for Off-Policy Learning in Recommendation

Algorithms
Novel ML Approaches
See More

Olivier Jeunen, University of Antwerp | Bart Goethals, University of Antwerp

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Live Session
27 Sep
 
16:00
CEST
Session 2: Theory and Practice
Add to Calendar 2021-09-27 04:00 pm 2021-09-27 05:30 pm Europe/Amsterdam Session 2: Theory and Practice Session 2: Theory and Practice is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Novel ML Approaches
Late Breaking Results

Play It Again, Sam! Recommending Familiar Music in Fresh Ways

See More

Giovanni Gabbolini, University College Cork | Derek Bridge, University College Cork

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Late Breaking Results
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Late Breaking Results Virtual Poster Session C: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Predicting Music Relistening Behavior Using the ACT-R Framework

See More

Markus Reiter-Haas, Graz University of Technology | Emilia Parada-Cabaleiro, Johannes Kepler University Linz | Markus Schedl, Johannes Kepler University Linz | Elham Motamedi, University of Primorska | Marko Tkalcic, University of Primorska | Elisabeth Lex, Graz University of Technology

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Late Breaking Results
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Late Breaking Results Virtual Poster Session A: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Privacy Preserving Collaborative Filtering by Distributed Mediation

Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Product RS (Online)
See More

Alon Ben Horin, The Open University of Israel | Tamir Tassa, The Open University of Israel

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Live Session
29 Sep
 
18:00
CEST
Session 9: Privacy, Fairness, Bias
Add to Calendar 2021-09-29 06:00 pm 2021-09-29 07:30 pm Europe/Amsterdam Session 9: Privacy, Fairness, Bias Session 9: Privacy, Fairness, Bias is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Product RS (Online)
Main Track

ProtoCF: Prototypical Collaborative Filtering for Few-shot Item Recommendation

Algorithms
Novel ML Approaches
Real-world application
User Modeling
See More

Aravind Sankar, University of Illinois, Urbana-Champaign | Junting Wang, University of Illinois, Urbana-Champaign | Adit Krishnan, University of Illinois, Urbana-Champaign | Hari Sundaram, University of Illinois

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Live Session
28 Sep
 
16:00
CEST
Session 5: Language and Knowledge
Add to Calendar 2021-09-28 04:00 pm 2021-09-28 05:30 pm Europe/Amsterdam Session 5: Language and Knowledge Session 5: Language and Knowledge is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Novel ML Approaches
Real-world application
User Modeling
Late Breaking Results

Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?

See More

Yan-Martin Tamm, Sber AI Lab | Rinchin Damdinov, Sber AI Lab | Alexey Vasilev, Sber AI Lab

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Late Breaking Results
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Late Breaking Results Virtual Poster Session A: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

RecSysOps: Best Practices for Operating a Large-Scale Recommender System

Applications
Evaluation of RS
Explainable RS
Machine Learning
See More

Mohammad Saberian, Netflix | Justin Basilico, Netflix

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Live Session
27 Sep
 
20:00
CEST
Industry Talks Sponsored by Zalando
Add to Calendar 2021-09-27 08:00 pm 2021-09-27 08:45 pm Europe/Amsterdam Industry Talks Sponsored by Zalando Industry Talks Sponsored by Zalando is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Evaluation of RS
Explainable RS
Machine Learning
Main Track

Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption

Algorithms
Context-Aware Recommendation
Entertainment RS
Novel Applications
Real-world application
RS in News and Media
RS Datasets
See More

Jérémie Rappaz, EPFL | Julian McAuley, UC San Diego | Karl Aberer, LSIR EPFL

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Live Session
30 Sep
 
14:00
CEST
Session 10: Applications-Driven Advances
Add to Calendar 2021-09-30 02:00 pm 2021-09-30 03:30 pm Europe/Amsterdam Session 10: Applications-Driven Advances Session 10: Applications-Driven Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Algorithms
Context-Aware Recommendation
Entertainment RS
Novel Applications
Real-world application
RS Datasets
RS in News and Media
Industry

Recommendations and Results Organization in Netflix Search

See More

Sudarshan Dnyaneshwar Lamkhede, Netflix Research Netflix | Christoph Kofler, Netflix

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Industry Posters
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Industry Posters Virtual Poster Session A: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Recommendations at Videoland

Applications
Collaborative Filtering
Deep Learning RS
Entertainment RS
Evaluation of RS
RS in News and Media
Machine Learning
See More

Mateo Gutierrez Granada, RTL Nederland B.V. | Daan Odijk, RTL Nederland B.V.

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Live Session
30 Sep
 
14:00
CEST
Session 10: Applications-Driven Advances
Add to Calendar 2021-09-30 02:00 pm 2021-09-30 03:30 pm Europe/Amsterdam Session 10: Applications-Driven Advances Session 10: Applications-Driven Advances is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Applications
Collaborative Filtering
Deep Learning RS
Entertainment RS
Evaluation of RS
Machine Learning
RS in News and Media
Industry

Recommender Systems for Personalized User Experience: Lessons learned at Booking.com

See More

Ioannis Kangas, Booking.com | Maud Schwoerer, Booking.com | Lucas J Bernardi, Booking.com

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Live Session
 
CEST
Add to Calendar Europe/Amsterdam is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Recommenders in banking: An end-to-end personalization pipeline within ING

See More

Carlos Vaquero-Patricio, ING Bank | Nikki van Ommeren, ING Bank | Santiago Gil-Begue, ING Bank

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Industry Posters
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Industry Posters Virtual Poster Session A: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Reproducibility

Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization

See More

Vito Walter Anelli, Politecnico di Bari | Alejandro Bellogín, Universidad Autónoma de Madrid | Tommaso Di Noia, Politecnico di Bari | Claudio Pomo, Politecnico di Bari

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Live Session
27 Sep
 
18:00
CEST
Session 3: Metrics and Evaluation
Add to Calendar 2021-09-27 06:00 pm 2021-09-27 07:30 pm Europe/Amsterdam Session 3: Metrics and Evaluation Session 3: Metrics and Evaluation is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?

Affect-Aware RS
Algorithms
See More

Daichi Amagata, Osaka University | Takahiro Hara, Osaka University

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Live Session
29 Sep
 
14:45
CEST
Session 7: Scalable Performance
Add to Calendar 2021-09-29 02:45 pm 2021-09-29 03:30 pm Europe/Amsterdam Session 7: Scalable Performance Session 7: Scalable Performance is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Affect-Aware RS
Algorithms
Industry

Scaling Enterprise Recommender Systems for Decentralization

See More

Maurits van der Goes, The HEINEKEN Company

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Industry Posters
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Industry Posters Virtual Poster Session D: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Industry

Scaling TensorFlow to 300 million predictions per second

See More

Jan Hartman, Zemanta, an Outbrain company | Davorin Kopič, Zemanta, an Outbrain company

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Industry Posters
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Industry Posters Virtual Poster Session D: Industry Posters is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Semi-Supervised Visual Representation Learning for Fashion Compatibility

Novel ML Approaches
Product RS (Online)
Real-world application
See More

Ambareesh Revanur, Carnegie Mellon University | Vijay Kumar, Walmart Global Tech | Deepthi Sharma, Walmart

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Live Session
30 Sep
 
18:00
CEST
Session 12: Real-World Concerns
Add to Calendar 2021-09-30 06:00 pm 2021-09-30 07:30 pm Europe/Amsterdam Session 12: Real-World Concerns Session 12: Real-World Concerns is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Novel ML Approaches
Product RS (Online)
Real-world application
Late Breaking Results

Sequence Adaptation via Reinforcement Learning in Recommender Systems

See More

Stefanos Antaris, KTH Royal Institute of Technology | Dimitrios Rafailidis, University of Thessaly

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Late Breaking Results
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Late Breaking Results Virtual Poster Session C: Late Breaking Results is taking place on the RecSys Hub. Https://recsyshub.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Shared Neural Item Representations for Completely Cold Start Problem

Algorithms
Novel ML Approaches
Product RS (In-Store)
Real-world application
See More

Ramin Raziperchikolaei, Rakuten, Inc. | Guannan Liang, Rakuten, Inc. | Young-joo Chung, Rakuten, Inc.

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Live Session
30 Sep
 
16:00
CEST
Session 11: Practical Issues
Add to Calendar 2021-09-30 04:00 2021-09-30 05:30 Europe/Amsterdam Session 11: Practical Issues Session 11: Practical Issues is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Siamese Neural Networks for Content-based Cold-Start Music Recommendation

See More

Michael Pulis, University of Malta | Josef Bajada, University of Malta

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Late Breaking Results
Add to Calendar 2021-09-28 03:30 2021-09-28 04:00 Europe/Amsterdam Virtual Poster Session B: Late Breaking Results Virtual Poster Session B: Late Breaking Results is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions

See More

Ivica Kostric, University of Stavanger | Krisztian Balog, University of Stavanger | Filip Radlinski, Google

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Live Session
30 Sep
 
15:30
CEST
Virtual Poster Session D: Late Breaking Results
Add to Calendar 2021-09-30 03:30 2021-09-30 04:00 Europe/Amsterdam Virtual Poster Session D: Late Breaking Results Virtual Poster Session D: Late Breaking Results is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs

Algorithms
RS in News and Media
System Design
User Modeling
See More

Vito Walter Anelli, Polytechnic University of Bari | Tommaso Di Noia, Polytechnic University of Bari | Eugenio Di Sciascio, Politecnico di Bari | Antonio Ferrara, Politecnico di Bari | Alberto Carlo Maria Mancino, Politecnico di Bari

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Live Session
28 Sep
 
16:00
CEST
Session 5: Language and Knowledge
Add to Calendar 2021-09-28 04:00 2021-09-28 05:30 Europe/Amsterdam Session 5: Language and Knowledge Session 5: Language and Knowledge is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback

Algorithms
Novel ML Approaches
System Design
See More

Lorenzo Minto, Brave Software | Moritz Haller, Brave Software | Benjamin Livshits, Brave Software | Hamed Haddadi, Brave Software

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Live Session
29 Sep
 
18:00
CEST
Session 9: Privacy, Fairness, Bias
Add to Calendar 2021-09-29 06:00 2021-09-29 07:30 Europe/Amsterdam Session 9: Privacy, Fairness, Bias Session 9: Privacy, Fairness, Bias is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending

Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Societal / Economic Impact
User Modeling
Social RS
See More

Tim Donkers, University of Duisburg-Essen Interactive Systems Research Group | Jürgen Ziegler, University of Duisburg-Essen Interactive Systems Research Group

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Live Session
27 Sep
 
14:45
CEST
Session 1: Echo Chambers and Filter Bubbles
Add to Calendar 2021-09-27 02:45 2021-09-27 03:30 Europe/Amsterdam Session 1: Echo Chambers and Filter Bubbles Session 1: Echo Chambers and Filter Bubbles is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning

See More

Vito Walter Anelli, Polytechnic University of Bari | Tommaso Di Noia, Polytechnic University of Bari | Felice Antonio Merra, Polytechnic University of Bari

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Late Breaking Results
Add to Calendar 2021-09-28 03:30 2021-09-28 04:00 Europe/Amsterdam Virtual Poster Session B: Late Breaking Results Virtual Poster Session B: Late Breaking Results is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

The role of preference consistency, defaults and musical expertise in users’ exploration behavior in a genre exploration recommender

Ethical Concerns
Fairness
Filter Bubbles
UI for RS
User-Centric Evaluation
User Interface Design
User Experience Research
See More

Yu Liang, Jheronimus Academy of Data Science | Martijn C. Willemsen, Eindhoven University of Technology and Jheronimus Academy of Data Science

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Live Session
28 Sep
 
18:00
CEST
Session 6: Interactive Recommendation
Add to Calendar 2021-09-28 06:00 2021-09-28 07:30 Europe/Amsterdam Session 6: Interactive Recommendation Session 6: Interactive Recommendation is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Demo

The role of preference consistency, defaults and musical expertise in users’ exploration behavior in a genre exploration recommender

See More

Yu Liang, Jheronimus Academy of Data Science | Martijn C. Willemsen, Eindhoven University of Technology and Jheronimus Academy of Data Science

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Live Session
28 Sep
 
15:30
CEST
Virtual Poster Session B: Demos
Add to Calendar 2021-09-28 03:30 2021-09-28 04:00 Europe/Amsterdam Virtual Poster Session B: Demos Virtual Poster Session B: Demos is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations

Algorithms
Entertainment RS
Novel ML Approaches
System Design
User Modeling
See More

Marco Polignano, University of Bari Aldo Moro | Cataldo Musto, University of Bari Aldo Moro | Marco de Gemmis, University of Bari Aldo Moro | Pasquale Lops, University of Bari Aldo Moro | Giovanni Semeraro, University of Bari Aldo Moro

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Live Session
28 Sep
 
16:00
CEST
Session 5: Language and Knowledge
Add to Calendar 2021-09-28 04:00 2021-09-28 05:30 Europe/Amsterdam Session 5: Language and Knowledge Session 5: Language and Knowledge is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Top-K Contextual Bandits with Equity of Exposure

Algorithms
Ethical Concerns
Fairness
Filter Bubbles
Novel ML Approaches
Societal / Economic Impact
See More

Olivier Jeunen, University of Antwerp | Bart Goethals, University of Antwerp

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Live Session
29 Sep
 
16:00
CEST
Session 8: Algorithmic Advances
Add to Calendar 2021-09-29 04:00 2021-09-29 05:30 Europe/Amsterdam Session 8: Algorithmic Advances Session 8: Algorithmic Advances is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network

Algorithms
Context-Aware Recommendation
Entertainment RS
Novel Applications
Product RS (Online)
Real-world application
See More

Huiyuan Chen, Visa Research | Yusan Lin, Visa Research | Fei Wang, AI Visa Research | Hao Yang, Visa Research

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Live Session
30 Sep
 
18:00
CEST
Session 12: Real-World Concerns
Add to Calendar 2021-09-30 06:00 2021-09-30 07:30 Europe/Amsterdam Session 12: Real-World Concerns Session 12: Real-World Concerns is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Towards Source-Aligned Variational Models for Cross-Domain Recommendation

Algorithms
Cross-Domain Recommendation
Novel ML Approaches
See More

Aghiles Salah, Rakuten Institute of Technology | Thanh Binh Tran, Singapore Management University | Hady Lauw, Singapore Management University

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Live Session
28 Sep
 
16:00
CEST
Session 5: Language and Knowledge
Add to Calendar 2021-09-28 04:00 2021-09-28 05:30 Europe/Amsterdam Session 5: Language and Knowledge Session 5: Language and Knowledge is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Towards Unified Metrics for Accuracy and Diversity for Recommender Systems

Algorithms
Evaluation Metrics and Studies
See More

Javier Parapar, University of A Coruña | Filip Radlinski, Google

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Live Session
27 Sep
 
18:00
CEST
Session 3: Metrics and Evaluation
Add to Calendar 2021-09-27 06:00 2021-09-27 07:30 Europe/Amsterdam Session 3: Metrics and Evaluation Session 3: Metrics and Evaluation is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Late Breaking Results

Transfer Learning in Collaborative Recommendation for Bias Reduction

See More

Zinan Lin, Shenzhen University | Dugang Liu, Shenzhen University | Weike Pan, Shenzhen University | Zhong Ming, Shenzhen University

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Live Session
27 Sep
 
15:30
CEST
Virtual Poster Session A: Late Breaking Results
Add to Calendar 2021-09-27 03:30 2021-09-27 04:00 Europe/Amsterdam Virtual Poster Session A: Late Breaking Results Virtual Poster Session A: Late Breaking Results is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Main Track

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation

Algorithms
Context-Aware Recommendation
Evaluation Metrics and Studies
Product RS (Online)
RS in News and Media
System Design
See More

Gabriel de Souza Pereira Moreira, NVIDIA | Sara Rabhi, NVIDIA | Jeong Min Lee, Facebook AI | Ronay Ak, NVIDIA | Even Oldridge, NVIDIA

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Live Session
28 Sep
 
16:00
CEST
Session 5: Language and Knowledge
Add to Calendar 2021-09-28 04:00 2021-09-28 05:30 Europe/Amsterdam Session 5: Language and Knowledge Session 5: Language and Knowledge is taking place on the RecSys Hub. Https://recsys.org
This session has already passed. Click the "see more" button above for recordings if available.
Demo

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation

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Gabriel de Souza Pereira Moreira, NVIDIA | Sara Rabhi, NVIDIA | Jeong Min Lee, Facebook AI | Ronay Ak, NVIDIA | Even Oldridge, NVIDIA

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Demos
Add to Calendar 2021-09-29 03:30 2021-09-29 04:00 Europe/Amsterdam Virtual Poster Session C: Demos Virtual Poster Session C: Demos is taking place on the RecSys Hub. Https://recsys.org
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Main Track

User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms

Ethical Concerns
Fairness
Filter Bubbles
User-Centric Evaluation
User Experience Research
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Ningxia Wang, Hong Kong Baptist University | Li Chen, Hong Kong Baptist University

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Live Session
28 Sep
 
14:45
CEST
Session 4: Users in Focus
Add to Calendar 2021-09-28 02:45 2021-09-28 03:30 Europe/Amsterdam Session 4: Users in Focus Session 4: Users in Focus is taking place on the RecSys Hub. Https://recsys.org
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Demo

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems

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Vito Walter Anelli, Politecnico di Bari | Alejandro Bellogín, Universidad Autonoma de Madrid | Antonio Ferrara, Politecnico di Bari | Daniele Malitesta, Politecnico di Bari | Felice Antonio Merra, Politecnico di Bari | Claudio Pomo, Politecnico di Bari | Francesco Maria Donini, Università della Tuscia | Tommaso Di Noia, Politecnico di Bari

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Live Session
29 Sep
 
15:30
CEST
Virtual Poster Session C: Demos
Add to Calendar 2021-09-29 03:30 2021-09-29 04:00 Europe/Amsterdam Virtual Poster Session C: Demos Virtual Poster Session C: Demos is taking place on the RecSys Hub. Https://recsys.org
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Main Track

Values of Exploration in Recommender Systems

Algorithms
Case studies
Evaluation Metrics and Studies
Novel ML Approaches
Product RS (Online)
Real-world application
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Minmin Chen, Google | Yuyan Wang, Google Research Brain Team | Can Xu, Google Inc | Ya Le, Google AI | Mohit Sharma, Google | Lee Richardson, Google | Su-Lin Wu, Google | Ed Chi, Google

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Live Session
27 Sep
 
18:00
CEST
Session 3: Metrics and Evaluation
Add to Calendar 2021-09-27 06:00 2021-09-27 07:30 Europe/Amsterdam Session 3: Metrics and Evaluation Session 3: Metrics and Evaluation is taking place on the RecSys Hub. Https://recsys.org
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Industry

You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack.

Applications
Case studies
Product RS (Online)
System Design
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Jacopo Tagliabue, Coveo Labs

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Live Session
30 Sep
 
16:00
CEST
Session 11: Practical Issues
Add to Calendar 2021-09-30 04:00 2021-09-30 05:30 Europe/Amsterdam Session 11: Practical Issues Session 11: Practical Issues is taking place on the RecSys Hub. Https://recsys.org
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Main Track

cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models

Case studies
System Design
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Keshav Balasubramanian, SCIP University of Southern California | Abdulla Alshabanah, SCIP University of Southern California | Joshua D Choe, SCIP University of Southern California | Murali Annavaram, SCIP University of Southern California

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Live Session
29 Sep
 
14:45
CEST
Session 7: Scalable Performance
Add to Calendar 2021-09-29 02:45 2021-09-29 03:30 Europe/Amsterdam Session 7: Scalable Performance Session 7: Scalable Performance is taking place on the RecSys Hub. Https://recsys.org
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Bias Issues and Solutions in Recommender System

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Jiawei Chen, University of Science and Technology of China | Xiang Wang, National University of Singapore | Fuli Feng, National University of Singapore | Xiangnan He, University of Science and Technology of China

Live Session
28 Sep
 
9:30
CEST
Bias Issues and Solutions in Recommender System
Add to Calendar 2021-09-28 09:30 am 2021-09-28 01:00 pm Europe/Amsterdam Bias Issues and Solutions in Recommender System Bias Issues and Solutions in Recommender System is taking place on the RecSys Hub. Https://recsyshub.org
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Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances

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Yuta Saito, Cornell University | Thorsten Joachims, Cornell University

Live Session
29 Sep
 
9:30
CEST
Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances
Add to Calendar 2021-09-29 09:30 am 2021-09-29 01:00 pm Europe/Amsterdam Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances is taking place on the RecSys Hub. Https://recsyshub.org
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End-to-End Session-Based Recommendation on GPU

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Gabriel de Souza Pereira Moreira, NVIDIA | Sara Rabhi, NVIDIA | Ronay Ak, NVIDIA | Benedikt Schifferer, NVIDIA

Live Session
30 Sep
 
9:30
CEST
End-to-End Session-Based Recommendation on GPU
Add to Calendar 2021-09-30 09:30 am 2021-09-30 01:00 pm Europe/Amsterdam End-to-End Session-Based Recommendation on GPU End-to-End Session-Based Recommendation on GPU is taking place on the RecSys Hub. Https://recsyshub.org
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Multi-Modal Recommender Systems: Hands-On Exploration

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Quoc-Tuan Truong, Singapore Management University | Aghiles Salah, Rakuten Institute of Technology | Hady Lauw, Singapore Management University

Live Session
29 Sep
 
9:30
CEST
Multi-Modal Recommender Systems: Hands-On Exploration
Add to Calendar 2021-09-29 09:30 am 2021-09-29 01:30 pm Europe/Amsterdam Multi-Modal Recommender Systems: Hands-On Exploration Multi-Modal Recommender Systems: Hands-On Exploration is taking place on the RecSys Hub. Https://recsyshub.org
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Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications

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Vito Walter Anelli, Polytechnic University of Bari | Luca Belli, Twitter | Yashar Deldjoo, Polytechnic University of Bari | Tommaso Di Noia, Polytechnic University of Bari | Antonio Ferrara, Polytechnic University of Bari  | Fedelucio Narducci, Polytechnic University of Bari  | Claudio Pomo, Polytechnic University of Bari

Live Session
30 Sep
 
9:30
CEST
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications
Add to Calendar 2021-09-30 09:30 am 2021-09-30 01:00 pm Europe/Amsterdam Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications is taking place on the RecSys Hub. Https://recsyshub.org
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RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation

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Wenqiang Lei, National University of Singapore | Chongming Gao, University of Science and Technology of China | Maarten de Rijke, University of Amsterdam and Ahold Delhaize

Live Session
28 Sep
 
9:30
CEST
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation
Add to Calendar 2021-09-28 09:30 am 2021-09-28 01:30 pm Europe/Amsterdam RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation is taking place on the RecSys Hub. Https://recsyshub.org
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9th International Workshop on News Recommendation and Analytics

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Özlem Özgöbek, Norwegian University of Science and Technology | Andreas Lommatzsch, TU Berlin | Benjamin Kille, TU Berlin | Peng Liu, Norwegian University of Science and Technology | Zhixin Pu, Pennsylvania State University | Jon Atle Gulla, Norwegian University of Science and Technology IDI

Live Session
25 Sep
 
15:00
CEST
9th International Workshop on News Recommendation and Analytics
Add to Calendar 2021-09-25 03:00 pm 2021-09-25 07:00 pm Europe/Amsterdam 9th International Workshop on News Recommendation and Analytics (INRA) (Virtual Only) 9th International Workshop on News Recommendation and Analytics (INRA) (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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FAccTRec 2021: The 4th Workshop on Responsible Recommendation

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Michael D Ekstrand, Boise State University | Pierre-Nicolas Schwab, Solvays Brussels School of Economy and Management | Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology (AIST) | Nasim Sonboli, University of Colorado Boulder

Live Session
25 Sep
 
15:00
CEST
FAccTRec 2021: The 4th Workshop on Responsible Recommendation
Add to Calendar 2021-09-25 03:00 pm 2021-09-25 07:00 pm Europe/Amsterdam FAccTRec 2021: The 4th Workshop on Responsible Recommendation (Virtual Only) FAccTRec 2021: The 4th Workshop on Responsible Recommendation (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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GReS: Workshop on Graph Neural Networks for Recommendation and Search

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Thibaut Thonet, Naver Labs Europe | Stéphane Clinchant, Naver Labs Europe | Carlos Lassance, NaverLabs Europe | Elvin Isufi, Delft University of Technology | Jiaqi Ma, University of Michigan | Yutong Xie, University of Michigan | Jean-Michel Renders, Naver Labs Europe | Michael Bronstein, Twitter

Live Session
2 Oct
 
15:00
CEST
GReS: Workshop on Graph Neural Networks for Recommendation and Search
Add to Calendar 2021-10-02 03:00 pm 2021-10-02 07:00 pm Europe/Amsterdam GReS: Workshop on Graph Neural Networks for Recommendation and Search (Virtual Only) GReS: Workshop on Graph Neural Networks for Recommendation and Search (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21)

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Peter Brusilovsky, University of Pittsburgh | Marco de Gemmis, University of Bari Aldo Moro | Alexander Felfernig, Graz University of Technology | Elisabeth Lex, Graz University of Technology | Pasquale Lops, University of Bari Aldo Moro | Giovanni Semeraro, University of Bari ALDO MORO | Martijn C. Willemsen, Eindhoven University of Technology and Jheronimus Academy of Data Science

Live Session
25 Sep
 
15:00
CEST
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21)
Add to Calendar 2021-09-25 03:00 pm 2021-09-25 07:00 pm Europe/Amsterdam Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) (Virtual Only) Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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KaRS & ComplexRec 2021 Joint Workshop

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Vito Walter Anelli, Polytechnic University of Bari | Pierpaolo Basile, Department of Computer Science University of Bari | Tommaso Di Noia, Polytechnic University of Bari | Francesco M Donini, DI.S.U.COM. Università della Tuscia | Cataldo Musto, University of Bari | Fedelucio Narducci, Politecnico di Bari | Markus Zanker, Free University of Bozen-Bolzano

Himan Abdollahpouri, Northwestern University | Toine Bogers, Aalborg University Copenhagen | Bamshad Mobasher, DePaul University School of Computing | Casper Petersen, Sampension A/S | Maria Soledad Soledad Pera, Computer Science - People & Information Research Team Boise State University

Live Session
25 Sep
 
15:00
CEST
KaRS & ComplexRec 2021 Joint Workshop
Add to Calendar 2021-09-25 03:00 pm 2021-09-25 07:00 pm Europe/Amsterdam KaRS & ComplexRec 2021 Joint Workshop (Virtual Only) KaRS & ComplexRec 2021 Joint Workshop (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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MORS 2021: 1st Workshop on Multi-Objective Recommender Systems

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Himan Abdollahpouri, Northwestern University | Mehdi Elahi, University of Bergen | Masoud Mansoury, Eindhoven University of Technology | Shaghayegh Sahebi, University at Albany - SUNY | Zahra Nazari, Spotify | Allison Chaney, Fuqua School of Business Duke University | Babak Loni, ING group

Live Session
25 Sep
 
15:00
CEST
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems
Add to Calendar 2021-09-25 03:00 pm 2021-09-25 07:00 pm Europe/Amsterdam MORS 2021: 1st Workshop on Multi-Objective Recommender Systems (Virtual Only) MORS 2021: 1st Workshop on Multi-Objective Recommender Systems (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems

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Antonela Tommasel, ISISTAN, CONICET-UNICEN | Daniela Godoy, ISISTAN, CONICET-UNICEN | Arkaitz Zubiaga, Queen Mary University of London

Live Session
2 Oct
 
15:00
CEST
OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems
Add to Calendar 2021-10-02 03:00 pm 2021-10-02 07:10 pm Europe/Amsterdam OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems (Virtual Only) OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling

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João Vinagre, LIAAD INESC TEC | Alípio Mário Jorge, LIAAD INESC TEC | Marie Al-Ghossein, University of Helsinki | Albert Bifet, LTCI Télécom ParisTech

Live Session
2 Oct
 
15:00
CEST
ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling
Add to Calendar 2021-10-02 03:00 pm 2021-10-02 07:00 pm Europe/Amsterdam ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling (Virtual Only) ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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Perspectives on the Evaluation of Recommender Systems

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Eva Zangerle, University of Innsbruck | Christine Bauer, Utrecht University | Alan Said, University of Gothenburg

Live Session
25 Sep
 
15:00
CEST
Perspectives on the Evaluation of Recommender Systems
Add to Calendar 2021-09-25 03:00 pm 2021-09-25 06:00 pm Europe/Amsterdam Perspectives on the Evaluation of Recommender Systems (Virtual Only) Perspectives on the Evaluation of Recommender Systems (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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PodRecs 2021: 2nd Workshop on Podcast Recommendations

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Ching-Wei Chen, Spotify | Rosie Jones, Spotify | Zahra Nazari, Spotify | Longqi Yang, Microsoft | Maria Eskevich, CLARIN ERIC | Gareth James Francis Jones, School of Computing Dublin City University | Sergio Oramas, Pandora

Live Session
26 Sep
 
15:00
CEST
PodRecs 2021: 2nd Workshop on Podcast Recommendations
Add to Calendar 2021-09-26 03:00 pm 2021-09-26 07:00 pm Europe/Amsterdam PodRecs 2021: 2nd Workshop on Podcast Recommendations (Virtual Only) PodRecs 2021: 2nd Workshop on Podcast Recommendations (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline

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Vito Walter Anelli, Politecnico di Bari | Saikishore Kalloori, ETH Zürich | Bruce Ferwerda, Jönköping University | Luca Belli, Twitter Inc. | Alykhan Tejani, Twitter Inc. | Frank Portman, Twitter Inc. | Alexandre Lung-Yut-Fong, Twitter Inc. | Ben Chamberlain, Twitter Inc. | Yuanpu Xie, Twitter Inc. | Jonathan Hunt, Twitter Inc. | Michael Bronstein, Twitter Inc. | Wenzhe Shi, Twitter Inc.

Live Session
1 Oct
 
14:00
CEST
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline
Add to Calendar 2021-10-01 02:00 pm 2021-10-01 07:00 pm Europe/Amsterdam RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline (Hybrid) RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline (Hybrid) is taking place on the RecSys Hub. Https://recsyshub.org
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RecSys in HR: Workshop on Recommender Systems for Human Resources

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Toine Bogers, Aalborg University Copenhagen | David Graus, Randstad Groep Nederland | Mesut Kaya, Aalborg University Copenhagen | Francisco Gutiérrez, KU Leuven | Katrien Verbert, KU Leuven

Live Session
1 Oct
 
9:30
CEST
RecSys in HR: Workshop on Recommender Systems for Human Resources
Add to Calendar 2021-10-01 09:30 am 2021-10-01 01:00 pm Europe/Amsterdam RecSys in HR: Workshop on Recommender Systems for Human Resources (Hybrid) RecSys in HR: Workshop on Recommender Systems for Human Resources (Hybrid) is taking place on the RecSys Hub. Https://recsyshub.org
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SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research

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Michael D Ekstrand, People and Information Research Team, Dept. of Computer Sci- ence Boise State University | Allison Chaney, Fuqua School of Business Duke University | Pablo Castells, Universidad Autónoma de Madrid | Robin Burke, University of Colorado, Boulder | David Rohde, Criteo | Manel Slokom, Delft University of Technology

Live Session
2 Oct
 
15:00
CEST
SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research
Add to Calendar 2021-10-02 03:00 pm 2021-10-02 07:00 pm Europe/Amsterdam SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research (Virtual Only) SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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Workshop on Context-Aware Recommender Systems (CARS) 2021

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Gediminas Adomavicius, University of Minnesota | Konstantin Bauman, Fox School of Business Temple University | Bamshad Mobasher, School of Computing DePaul University | Francesco Ricci,  Free University of Bozen-Bolzano | Alexander Tuzhilin, Stern School of Business New York University | Moshe Unger, Stern School of Business New York University

Live Session
2 Oct
 
15:00
CEST
Workshop on Context-Aware Recommender Systems (CARS) 2021
Add to Calendar 2021-10-02 03:00 pm 2021-10-02 05:00 pm Europe/Amsterdam Workshop on Context-Aware Recommender Systems (CARS) 2021 (Virtual Only) Workshop on Context-Aware Recommender Systems (CARS) 2021 (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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Workshop on Recommender Systems in Fashion and Retail

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Shatha Jaradat, KTH | Nima Dokoohaki, Accenture | Humberto Jesus Corona Pampin, Spotify | Reza Shirvany, Zalando SE

Live Session
28 Sep
 
9:30
CEST
Workshop on Recommender Systems in Fashion and Retail
Add to Calendar 2021-09-28 09:30 am 2021-09-28 01:30 pm Europe/Amsterdam Workshop on Recommender Systems in Fashion and Retail (Hybrid) Workshop on Recommender Systems in Fashion and Retail (Hybrid) is taking place on the RecSys Hub. Https://recsyshub.org
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Workshop on Recommenders in Tourism (RecTour)

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Julia Neidhardt, TU Wien | Wolfgang Wörndl, Technical University of Munich | Tsvi Kuflik, The University of Haifa | Markus Zanker, Free University of Bozen-Bolzano

Live Session
26 Sep
 
15:00
CEST
Workshop on Recommenders in Tourism (RecTour)
Add to Calendar 2021-09-26 03:00 pm 2021-09-26 07:00 pm Europe/Amsterdam Workshop on Recommenders in Tourism (RecTour) (Virtual Only) Workshop on Recommenders in Tourism (RecTour) (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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XMRec: Workshop on Cross-Market Recommendation

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Mohammad Aliannejadi, University of Amsterdam | Hamed Bonab, University of Massachusetts Amherst | Ali Vardasbi, University of Amsterdam | Evangelos Kanoulas, University of Amsterdam | James Allan, University of Massachusetts Amherst | Vanessa Murdock, Amazon Research

Live Session
2 Oct
 
15:00
CEST
XMRec: Workshop on Cross-Market Recommendation
Add to Calendar 2021-10-02 03:00 pm 2021-10-02 07:00 pm Europe/Amsterdam XMRec: Workshop on Cross-Market Recommendation (Virtual Only) XMRec: Workshop on Cross-Market Recommendation (Virtual Only) is taking place on the RecSys Hub. Https://recsyshub.org
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