Agenda

 - 
16:00
18:00
CEST
Add to Calendar 2021-09-24 04:00 pm 2021-09-24 06:00 pm Europe/Amsterdam Virtual Kick Off A link to view content for Virtual Kick Off can be found at recsyshub.org
Meetup

Virtual Kick Off

Session Chair

We welcome you to the RecSys 2021 Hybrid Conference. Please join us for a virtual kick-off reception on Friday 24 of September. We will have a chance to hear from our conference general co-chairs, look at Industry posters, and connect with conference attendees through an online networking platform. We look forward to seeing you there!

 - 
15:00
19:00
CEST
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) A link to view content for Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) (Virtual Only) can be found at recsyshub.org
Workshop

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) (Virtual Only)

Session Chair

Peter Brusilovsky, School of Computing and Information University of Pittsburgh | Marco de Gemmis, Dept. of Computer Science University of Bari Aldo Moro | Alexander Felfernig, Graz University of Technology Software Technology Institute | Elisabeth Lex, Graz University of Technology | Pasquale Lops, Department of Computer Science University of Bari Aldo Moro | Giovanni Semeraro, Dept. of Computer Science University of Bari ALDO MORO | Martijn C. Willemsen, Human-Technology Interaction Group Eindhoven University of Technology

 - 
15:00
19:00
CEST
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) A link to view content for MORS 2021: 1st Workshop on Multi-Objective Recommender Systems (Virtual Only) can be found at recsyshub.org
Workshop

MORS 2021: 1st Workshop on Multi-Objective Recommender Systems (Virtual Only)

Session Chair

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

 - 
15:00
19:00
CEST
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) A link to view content for FAccTRec 2021: The 4th Workshop on Responsible Recommendation (Virtual Only) can be found at recsyshub.org
Workshop

FAccTRec 2021: The 4th Workshop on Responsible Recommendation (Virtual Only)

Session Chair

Michael D Ekstrand, People and Information Research Team, Dept. of Computer Science 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, Information Science Department University of Colorado Boulder

 - 
15:00
19:00
CEST
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) A link to view content for 9th International Workshop on News Recommendation and Analytics (INRA) (Virtual Only) can be found at recsyshub.org
Workshop

9th International Workshop on News Recommendation and Analytics (INRA) (Virtual Only)

Session Chair

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

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15:00
19:00
CEST
Add to Calendar 2021-09-25 03:00 pm 2021-09-25 07:00 pm Europe/Amsterdam KaRS & ComplexRec 2021 Joint Workshop (Virtual Only) A link to view content for KaRS & ComplexRec 2021 Joint Workshop (Virtual Only) can be found at recsyshub.org
Workshop

KaRS & ComplexRec 2021 Joint Workshop (Virtual Only)

Session Chair

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 | Casper Petersen, SamPension | Himan Abdollahpouri, Northwestern University | Toine Bogers, Aalborg University Copenhagen | Bamshad Mobasher, DePaul University | Maria Soledad Pera, Boise State University

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15:00
18:00
CEST
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) A link to view content for Perspectives on the Evaluation of Recommender Systems (Virtual Only) can be found at recsyshub.org
Workshop

Perspectives on the Evaluation of Recommender Systems (Virtual Only)

Session Chair

Eva Zangerle, Department of Computer Science University of Innsbruck | Christine Bauer, Department of Information and Computing Sciences Utrecht University | Alan Said, University of Gothenburg

1.4 Verwey Kamer (Main Session Room) 1.5 Blauwe Kamer (Breakout Room)
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15:00
20:00
CEST
Add to Calendar 2021-09-26 03:00 pm 2021-09-26 08:00 pm Europe/Amsterdam Doctoral Symposium (By Invitation Only) A link to view content for Doctoral Symposium (By Invitation Only) can be found at recsyshub.org
Paper

Doctoral Symposium (By Invitation Only)

Session Chair
Papers
Posters
Demos
Modeling Users and Items for Recommenders: There Is More than Semantics
View Page

Mete Sertkan, E-Commerce TU Wien

Neural Basket Embedding for Sequential Recommendation
View Page

Vojtěch Vančura, Faculty of Information Technology Czech Technical University

Learning Dynamic Insurance Recommendations from Users' Click Sessions
View Page

Simone Borg Bruun, University of Copenhagen

Argument-based generation and explanation of recommendations
View Page

Andrés Segura-Tinoco, Universidad Autónoma de Madrid

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

Pan Li, New York University

Measuring and Mitigating Bias and Harm in Personalized Advertising
View Page

Muhammad Ali, Northeastern University

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

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

Biases in Recommendation System
View Page

Saumya Bhadani, University of South Florida

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15:00
19:00
CEST
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) A link to view content for PodRecs 2021: 2nd Workshop on Podcast Recommendations (Virtual Only) can be found at recsyshub.org
Workshop

PodRecs 2021: 2nd Workshop on Podcast Recommendations (Virtual Only)

Session Chair

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

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15:00
19:00
CEST
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) A link to view content for Workshop on Recommenders in Tourism (RecTour) (Virtual Only) can be found at recsyshub.org
Workshop

Workshop on Recommenders in Tourism (RecTour) (Virtual Only)

Session Chair

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

0.5 Grannbeurszaal
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11:30
13:30
CEST
Add to Calendar 2021-09-27 11:30 am 2021-09-27 01:30 pm Europe/Amsterdam Opening Brunch A link to view content for Opening Brunch can be found at recsyshub.org
0.4 Effectenbeurszaal
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13:30
14:45
CEST
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 A link to view content for Opening Session and Keynote: Graph Neural Networks for Knowledge Representation and Recommendation can be found at recsyshub.org
Keynote

Opening Session and Keynote: Graph Neural Networks for Knowledge Representation and Recommendation

Session Chair
Graph Neural Networks have gained enormous popularity in recent years and found widespread application in, among others, physics and chemistry, computer vision, simulation, healthcare, wireless communication, logistics, natural language processing, causality, knowledge representation and recommendation. In this talk I will give a brief introduction on graph neural networks and their relation to deep learning. I will also discuss how to incorporate symmetries in GNNs and discuss a number of applications on which I have worked. In the last part of the talk I will discuss in a little bit more detail how GNNs can be applied to KR, IR and recommender systems.

ABOUT THE SPEAKER

Max Welling is a research chair in Machine Learning at the University of Amsterdam and a Distinguished Scientist at MSR. He is a fellow at the Canadian Institute for Advanced Research (CIFAR) and the European Lab for Learning and Intelligent Systems (ELLIS) where he also serves on the founding board. His previous appointments include VP at Qualcomm Technologies, professor at UC Irvine, postdoc at U. Toronto and UCL under supervision of Prof. Geoffrey Hinton, and postdoc at Caltech under supervision of prof. Pietro Perona. He finished his PhD in theoretical high energy physics under supervision of Nobel laureate Prof. Gerard ‘t Hooft.

Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015, he serves on the advisory board of the NeurIPS foundation since 2015 and has been program chair and general chair of NeurIPS in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair of MIDL 2018. Max Welling is recipient of the ECCV Koenderink Prize in 2010 and the ICML Test of Time award in 2021. He directs the Amsterdam Machine Learning Lab (AMLAB) and co-directs the Qualcomm-UvA deep learning lab (QUVA) and the Bosch-UvA Deep Learning lab (DELTA).

0.4 Effectenbeurszaal
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14:45
15:30
CEST
Add to Calendar 2021-09-27 02:45 pm 2021-09-27 03:30 pm Europe/Amsterdam Session 1: Echo Chambers and Filter Bubbles A link to view content for Session 1: Echo Chambers and Filter Bubbles can be found at recsyshub.org
Paper

Session 1: Echo Chambers and Filter Bubbles

Session Chair
Ludovico Boratto, University of Cagliari
Papers
Posters
Demos
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
View Page

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

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

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

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

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

.2 Grote Zaal
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15:30
16:00
CEST
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: Netflix A link to view content for Virtual Sponsor Meet Up: Netflix can be found at recsyshub.org
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15:30
16:00
CEST
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Demos A link to view content for Virtual Poster Session A: Demos can be found at recsyshub.org
Demo

Virtual Poster Session A: Demos

Session Chair
Papers
Posters
Demos
Generic Automated Lead Ranking in Dynamics CRM
View Page

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

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

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)

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15:30
16:00
CEST
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Late Breaking Results A link to view content for Virtual Poster Session A: Late Breaking Results can be found at recsyshub.org
Poster

Virtual Poster Session A: Late Breaking Results

Session Chair
Papers
Posters
Demos
An Interpretable Recommendation Model for Gerontological Care
View Page

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)

Eigenvalue Perturbation for Item-based Recommender Systems
View Page

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

Global-Local Item Embedding for Temporal Set Prediction
View Page

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

Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering
View Page

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

Predicting Music Relistening Behavior Using the ACT-R Framework
View Page

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

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

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

Transfer Learning in Collaborative Recommendation for Bias Reduction
View Page

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

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15:30
16:00
CEST
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Industry Posters A link to view content for Virtual Poster Session A: Industry Posters can be found at recsyshub.org
Poster

Virtual Poster Session A: Industry Posters

Session Chair
Papers
Posters
Demos
Recommenders in banking: An end-to-end personalization pipeline within ING
View Page

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

Recommendations and Results Organization in Netflix Search
View Page

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

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

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

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15:30
16:00
CEST
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Virtual Poster Session A: Doctoral Symposium Posters A link to view content for Virtual Poster Session A: Doctoral Symposium Posters can be found at recsyshub.org
Doctoral Symposium

Virtual Poster Session A: Doctoral Symposium Posters

Session Chair
Papers
Posters
Demos
Argument-based generation and explanation of recommendations
View Page

Andrés Segura-Tinoco, Universidad Autónoma de Madrid

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

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

0.2 Grote Zaal
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15:30
16:00
CEST
Add to Calendar 2021-09-27 03:30 pm 2021-09-27 04:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
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16:00
17:30
CEST
Add to Calendar 2021-09-27 04:00 pm 2021-09-27 05:30 pm Europe/Amsterdam Session 2: Theory and Practice A link to view content for Session 2: Theory and Practice can be found at recsyshub.org
Paper

Session 2: Theory and Practice

Session Chair
Wenqi Fan, The Hong Kong Polytechnic University
Papers
Posters
Demos
Negative Interactions for Improved Collaborative-Filtering: Don’t go Deeper, go Higher
View Page

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

Exploration in Recommender Systems
View Page

Minmin Chen, Google

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

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

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

Florian Wilhelm, inovex GmbH

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

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.

Pessimistic Reward Models for Off-Policy Learning in Recommendation
View Page

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

.2 Grote Zaal
 - 
17:30
18:00
CEST
Add to Calendar 2021-09-27 05:30 pm 2021-09-27 06:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: Zalando/Pandora A link to view content for Virtual Sponsor Meet Up: Zalando/Pandora can be found at recsyshub.org
Break

Virtual Sponsor Meet Up: Zalando/Pandora

Session Chair

Zalando Join here
Pandora Join here

0.2 Grote Zaal
 - 
17:30
18:00
CEST
Add to Calendar 2021-09-27 05:30 pm 2021-09-27 06:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
18:00
19:30
CEST
Add to Calendar 2021-09-27 06:00 pm 2021-09-27 07:30 pm Europe/Amsterdam Session 3: Metrics and Evaluation A link to view content for Session 3: Metrics and Evaluation can be found at recsyshub.org
Paper

Session 3: Metrics and Evaluation

Session Chair
Dietmar Jannach, University of Klagenfurt
Papers
Posters
Demos
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems
View Page

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

Values of Exploration in Recommender Systems
View Page

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

Online Evaluation Methods for the Causal Effect of Recommendations
View Page

Masahiro Sato, independent researcher

Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization
View Page

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

Accordion: A Trainable Simulator for Long-Term Interactive Systems
View Page

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

Evaluating the Robustness of Off-Policy Evaluation
View Page

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

0.2 Grote Zaal
 - 
19:30
22:00
CEST
Add to Calendar 2021-09-27 07:30 pm 2021-09-27 10:00 pm Europe/Amsterdam Reception A link to view content for Reception can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
20:00
20:45
CEST
Add to Calendar 2021-09-27 08:00 pm 2021-09-27 08:45 pm Europe/Amsterdam Industry Talks Sponsored by Zalando A link to view content for Industry Talks Sponsored by Zalando can be found at recsyshub.org
Paper

Industry Talks Sponsored by Zalando

Session Chair
Jean Garcia-Gathright | Bouke Huurnink | Even Oldridge


Papers
Posters
Demos
Online Learning for Recommendations at Grubhub
View Page

Alex Egg, Grubhub

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

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

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

Mohammad Saberian, Netflix | Justin Basilico, Netflix

 - 
20:45
22:00
CEST
Add to Calendar 2021-09-27 08:45 pm 2021-09-27 10:00 pm Europe/Amsterdam Wonder.me Mingling A link to view content for Wonder.me Mingling can be found at recsyshub.org
Meetup

Wonder.me Mingling

Session Chair
During this time, virtual participants are invited for informal mingling on Wonder.me. Password: @msterd@m21
1.1 Administratiezaal
 - 
9:30
13:30
CEST
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 A link to view content for RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation can be found at recsyshub.org
Tutorial

RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation

Session Chair

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

0.4 Effectenbeurszaal
 - 
9:30
13:00
CEST
Add to Calendar 2021-09-28 09:30 am 2021-09-28 01:00 pm Europe/Amsterdam Bias Issues and Solutions in Recommender System A link to view content for Bias Issues and Solutions in Recommender System can be found at recsyshub.org
Tutorial

Bias Issues and Solutions in Recommender System

Session Chair

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

1.20 Veilingzaal
 - 
9:30
13:30
CEST
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) A link to view content for Workshop on Recommender Systems in Fashion and Retail (Hybrid) can be found at recsyshub.org
Workshop

Workshop on Recommender Systems in Fashion and Retail (Hybrid)

Session Chair

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

1.9 Berlagezaal
 - 
9:30
13:00
CEST
Add to Calendar 2021-09-28 09:30 am 2021-09-28 01:00 pm Europe/Amsterdam 9th International Workshop on News Recommendation and Analytics (INRA) (Hybrid) A link to view content for 9th International Workshop on News Recommendation and Analytics (INRA) (Hybrid) can be found at recsyshub.org
Workshop

9th International Workshop on News Recommendation and Analytics (INRA) (Hybrid)

Session Chair

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

0.2 Grote Zaal
 - 
13:00
14:00
CEST
Add to Calendar 2021-09-28 01:00 pm 2021-09-28 02:00 pm Europe/Amsterdam Lunch Buffet A link to view content for Lunch Buffet can be found at recsyshub.org
Lunch

Lunch Buffet

Session Chair
Discuss the in-person posters with the authors starting at 13:30 CEST
 - 
13:00
14:00
CEST
Add to Calendar 2021-09-28 01:00 pm 2021-09-28 02:00 pm Europe/Amsterdam Wonder.me Mingling A link to view content for Wonder.me Mingling can be found at recsyshub.org
Meetup

Wonder.me Mingling

Session Chair
During this time, virtual participants are invited for informal mingling on Wonder.me. Password: @msterd@m21
0.4 Effectenbeurszaal
 - 
14:00
14:45
CEST
Add to Calendar 2021-09-28 02:00 pm 2021-09-28 02:45 pm Europe/Amsterdam Keynote: Regulating Recommenders A link to view content for Keynote: Regulating Recommenders can be found at recsyshub.org
Keynote

Keynote: Regulating Recommenders

Session Chair
Recommenders are the power engines of the digital society. They order and unlock information online, manage our attention, make and break businesses and control the constant flow of information and disinformation. So much power over markets and society cannot escape the attention of regulators, and in the past year the European Commission has launched into a series of ambitious initiatives to set a (world-wide) standard of dealing with the potential risks and opportunities of recommendation algorithms. While the draft Digital Services Act and the Digital Markets Act very much focus on recommenders controlled by Very Large Online Platform, other initiatives such as the draft AI Regulation or the Data Governance Act pertain to setting the conditions for the operation of recommenders more broadly. In my presentation I will map this emerging landscape of rules and regulations and offer some critical reflections of how they will shape recommender design in the years to come.

ABOUT THE SPEAKER

Natali Helberger is Distinguished University Professor of Law and Digital Technology with a special focus on AI at the University of Amsterdam and a member of the board of directors of the Institute for Information Law (IViR), one of the leading information law institutes worldwide. Her research over the past five years has focused on how AI and automated decision making are transforming society and their implications for law and governance. She was awarded an ERC grant for her research about the legal and democratic implications of recommender systems (PersoNews). Together with Prof. Dr. Claes de Vreese, Helberger founded the Research Priority Area Information, Communication, and the Data Society (www.uva-icds.net) at the University of Amsterdam, which has pioneered methods to study the societal impact of digital technologies and shaped the international discussion on filter bubbles, platform governance, data-driven communication, and political micro-targeting. She is also one of the founders of the AI, Media & Democracy Lab that brings together media professionals and researchers to research, develop and test AI applications in the media. Natali is regularly asked to advise national and European law makers and regulatory authorities, and is the chair of the Council of Europe Committee on AI and Freedom of Expression.

0.4 Effectenbeurszaal
 - 
14:45
15:30
CEST
Add to Calendar 2021-09-28 02:45 pm 2021-09-28 03:30 pm Europe/Amsterdam Session 4: Users in Focus A link to view content for Session 4: Users in Focus can be found at recsyshub.org
Paper

Session 4: Users in Focus

Session Chair
Nava Tintarev, Maastricht University
Papers
Posters
Demos
"Serving Each User": Supporting Different Eating Goals Through a Multi-List Recommender Interface
View Page

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

Building public service recommenders: Logbook of a journey
View Page

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

User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms
View Page

Ningxia Wang, Hong Kong Baptist University | Li Chen, Hong Kong Baptist University

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Industry Posters A link to view content for Virtual Poster Session B: Industry Posters can be found at recsyshub.org
Poster

Virtual Poster Session B: Industry Posters

Session Chair
Papers
Posters
Demos
Personalised Outfit Recommendations: Use Cases, Challenges and Opportunities
View Page

Nick Landia, Dressipi

Content-based book recommendations
View Page

Niels Bogaards, Bookarang | Frederique Schut, Bookarang

Offline Evaluation Standards for Recommender Systems
View Page

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

.2 Grote Zaal
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: Zalando A link to view content for Virtual Sponsor Meet Up: Zalando can be found at recsyshub.org
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Demos A link to view content for Virtual Poster Session B: Demos can be found at recsyshub.org
Demo

Virtual Poster Session B: Demos

Session Chair
Papers
Posters
Demos
Connecting Students with Research Advisors Through User-Controlled Recommendation
View Page

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

EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations
View Page

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

Multi-Step Critiquing User Interface for Recommender Systems
View Page

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

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

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

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Late Breaking Results A link to view content for Virtual Poster Session B: Late Breaking Results can be found at recsyshub.org
Poster

Virtual Poster Session B: Late Breaking Results

Session Chair
Papers
Posters
Demos
A Constrained Optimization Approach for Calibrated Recommendations
View Page

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

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

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

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

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

Estimating and Penalizing Preference Shifts in Recommender Systems
View Page

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

Optimizing the Selection of Recommendation Carousels with Quantum Computing
View Page

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

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

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

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

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

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Virtual Poster Session B: Doctoral Symposium Posters A link to view content for Virtual Poster Session B: Doctoral Symposium Posters can be found at recsyshub.org
Doctoral Symposium

Virtual Poster Session B: Doctoral Symposium Posters

Session Chair
Papers
Posters
Demos
Learning Dynamic Insurance Recommendations from Users' Click Sessions
View Page

Simone Borg Bruun, University of Copenhagen

Biases in Recommendation System
View Page

Saumya Bhadani, University of South Florida

0.2 Grote Zaal
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-28 03:30 pm 2021-09-28 04:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
16:00
17:30
CEST
Add to Calendar 2021-09-28 04:00 pm 2021-09-28 05:30 pm Europe/Amsterdam Session 5: Language and Knowledge A link to view content for Session 5: Language and Knowledge can be found at recsyshub.org
Paper

Session 5: Language and Knowledge

Session Chair
Tomislav Duricic, Know-Center GmbH and Technische Universität Graz
Papers
Posters
Demos
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
View Page

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

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
View Page

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

ProtoCF: Prototypical Collaborative Filtering for Few-shot Item Recommendation
View Page

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

Towards Source-Aligned Variational Models for Cross-Domain Recommendation
View Page

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

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

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

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

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

.2 Grote Zaal
 - 
17:30
18:00
CEST
Add to Calendar 2021-09-28 05:30 pm 2021-09-28 06:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: NVIDIA/DPG Media/Preamble/The Home Depot A link to view content for Virtual Sponsor Meet Up: NVIDIA/DPG Media/Preamble/The Home Depot can be found at recsyshub.org
Break

Virtual Sponsor Meet Up: NVIDIA/DPG Media/Preamble/The Home Depot

Session Chair

NVIDIA Join here
DPG Media Join here
Preamble Join here
The Home Depot Join here

0.2 Grote Zaal
 - 
17:30
18:00
CEST
Add to Calendar 2021-09-28 05:30 pm 2021-09-28 06:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
18:00
19:30
CEST
Add to Calendar 2021-09-28 06:00 pm 2021-09-28 07:30 pm Europe/Amsterdam Session 6: Interactive Recommendation A link to view content for Session 6: Interactive Recommendation can be found at recsyshub.org
Paper

Session 6: Interactive Recommendation

Session Chair
Ludovik Çoba, Koa Health
Papers
Posters
Demos
Fast Multi-Step Critiquing for VAE-based Recommender Systems
View Page

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

Learning a voice-based conversational recommender using offline policy optimization
View Page

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

Large-scale Interactive Conversational Recommendation System
View Page

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

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

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

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

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

Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation
View Page

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

0.5 Grannbeurszaal
 - 
19:30
22:00
CEST
Add to Calendar 2021-09-28 07:30 pm 2021-09-28 10:00 pm Europe/Amsterdam Banquet Sponsored by Booking.com A link to view content for Banquet Sponsored by Booking.com can be found at recsyshub.org
 - 
19:30
20:30
CEST
Add to Calendar 2021-09-28 07:30 pm 2021-09-28 08:30 pm Europe/Amsterdam Wonder.me Mingling A link to view content for Wonder.me Mingling can be found at recsyshub.org
Meetup

Wonder.me Mingling

Session Chair
During this time, virtual participants are invited for informal mingling on Wonder.me. Password: @msterd@m21
0.5 Grannbeurszaal
 - 
8:30
9:30
CEST
Add to Calendar 2021-09-29 08:30 am 2021-09-29 09:30 am Europe/Amsterdam Women's Breakfast A link to view content for Women's Breakfast can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
9:30
13:00
CEST
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 A link to view content for Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances can be found at recsyshub.org
Tutorial

Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances

Session Chair

Yuta Saito, Cornell University | Thorsten Joachims, Dept of Information Science Cornell University

1.1 Administratiezaal
 - 
9:30
13:30
CEST
Add to Calendar 2021-09-29 09:30 am 2021-09-29 01:30 pm Europe/Amsterdam Multi-Modal Recommender Systems: Hands-On Exploration A link to view content for Multi-Modal Recommender Systems: Hands-On Exploration can be found at recsyshub.org
Tutorial

Multi-Modal Recommender Systems: Hands-On Exploration

Session Chair

Quoc-Tuan Truong, School of Information Systems Singapore Management University | Aghiles Salah, Rakuten Institute of Technology | Hady Lauw, School of Computing and Information Systems Singapore Management University

1.20 Veilingzaal
 - 
9:30
13:00
CEST
Add to Calendar 2021-09-29 09:30 am 2021-09-29 01:00 pm Europe/Amsterdam KaRS & ComplexRec 2021 Joint Workshop (Hybrid) A link to view content for KaRS & ComplexRec 2021 Joint Workshop (Hybrid) can be found at recsyshub.org
Workshop

KaRS & ComplexRec 2021 Joint Workshop (Hybrid)

Session Chair

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 | Casper Petersen, SamPension | Himan Abdollahpouri, Northwestern University | Toine Bogers, Aalborg University Copenhagen | Bamshad Mobasher, DePaul University | Maria Soledad Pera, Boise State University

1.9 Berlage Zaal
 - 
10:00
12:45
CEST
Add to Calendar 2021-09-29 10:00 am 2021-09-29 12:45 pm Europe/Amsterdam Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) (Hybrid) A link to view content for Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) (Hybrid) can be found at recsyshub.org
Workshop

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21) (Hybrid)

Session Chair

Peter Brusilovsky, School of Computing and Information University of Pittsburgh | Marco de Gemmis, Dept. of Computer Science University of Bari Aldo Moro | Alexander Felfernig, Graz University of Technology Software Technology Institute | Elisabeth Lex, Graz University of Technology | Pasquale Lops, Department of Computer Science University of Bari Aldo Moro | Giovanni Semeraro, Dept. of Computer Science University of Bari ALDO MORO | Martijn C. Willemsen, Human-Technology Interaction Group Eindhoven University of Technology

0.2 Grote Zaal
 - 
13:00
14:00
CEST
Add to Calendar 2021-09-29 01:00 pm 2021-09-29 02:00 pm Europe/Amsterdam Lunch Buffet A link to view content for Lunch Buffet can be found at recsyshub.org
Lunch

Lunch Buffet

Session Chair
Discuss the in-person posters with the authors starting at 13:30 CEST
 - 
13:00
14:00
CEST
Add to Calendar 2021-09-29 01:00 pm 2021-09-29 02:00 pm Europe/Amsterdam Wonder.me Mingling A link to view content for Wonder.me Mingling can be found at recsyshub.org
Meetup

Wonder.me Mingling

Session Chair
During this time, virtual participants are invited for informal mingling on Wonder.me. Password: @msterd@m21
0.4 Effectenbeurszaal
 - 
14:00
14:45
CEST
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 A link to view content for Keynote: Key notes from keys and notes: pianist perspectives on recommendation can be found at recsyshub.org
Keynote

Keynote: Key notes from keys and notes: pianist perspectives on recommendation

Session Chair
A recommender makes choices on what—or whom—to promote or deprioritize. In this keynote, I consider this challenge through the different perspectives that I have taken professionally: as a technologist, as earlier-career faculty, but particularly, as a performing artist. Over the past centuries, the perception, reception and promotion of classical music has been evolving and changing. Looking at this more closely raises some interesting questions on how we currently conceptualize our recommender systems, and especially, how we establish and sustain ‘what is worth promoting’. As I will argue, going back to Bach and bel canto can be of inspiration in rethinking our future technologies, as well as our own professional roles.

ABOUT THE SPEAKER

Cynthia C. S. Liem is an Associate Professor in the Multimedia Computing Group of Delft University of Technology, The Netherlands, and pianist of the Magma Duo. Her research interests focus on making people discover new interests and content which would not trivially be retrieved, and assessing questions of validation and validity, especially in the context of music and multimedia search and recommendation. She initiated and co-coordinated the European research projects PHENICX (2013-2016) and TROMPA (2018-2021), focusing on technological enrichment of digital musical heritage, gained industrial experience at Bell Labs Netherlands, Philips Research and Google, and served as general co-chair of the 20th anniversary edition of the International Society for Music Information Retrieval (ISMIR) conference in 2019. She was a recipient of the Lucent Global Science and Google Anita Borg Europe Memorial scholarships, the Google European Doctoral Fellowship 2010 in Multimedia, a finalist of the New Scientist Science Talent Award 2016 for young scientists committed to public outreach, and is a member of the Dutch national Young Academy (2021-2026). This year, she is serving as Inclusion and Accessibility Chair at RecSys 2021.

0.4 Effectenbeurszaal
 - 
14:45
15:30
CEST
Add to Calendar 2021-09-29 02:45 pm 2021-09-29 03:30 pm Europe/Amsterdam Session 7: Scalable Performance A link to view content for Session 7: Scalable Performance can be found at recsyshub.org
Paper

Session 7: Scalable Performance

Session Chair
Neil Hurley, University College Dublin
Papers
Posters
Demos
Local Factor Models for Large-Scale Inductive Recommendation
View Page

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

cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models
View Page

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

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

Daichi Amagata, Osaka University | Takahiro Hara, Osaka University

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Industry Posters A link to view content for Virtual Poster Session C: Industry Posters can be found at recsyshub.org
Poster

Virtual Poster Session C: Industry Posters

Session Chair
Papers
Posters
Demos
Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha
View Page

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

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

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.

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

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

.2 Grote Zaal
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: Booking.com A link to view content for Virtual Sponsor Meet Up: Booking.com can be found at recsyshub.org
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Demos A link to view content for Virtual Poster Session C: Demos can be found at recsyshub.org
Demo

Virtual Poster Session C: Demos

Session Chair
Papers
Posters
Demos
DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions
View Page

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

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

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

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

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

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Late Breaking Results A link to view content for Virtual Poster Session C: Late Breaking Results can be found at recsyshub.org
Poster

Virtual Poster Session C: Late Breaking Results

Session Chair
Papers
Posters
Demos
Automatic Collection Creation and Recommendation
View Page

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

Dynamic Graph Construction for Improving Diversity of Recommendation
View Page

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

Horizontal Cross-Silo Federated Recommender Systems
View Page

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

Sequence Adaptation via Reinforcement Learning in Recommender Systems
View Page

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

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

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

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Virtual Poster Session C: Doctoral Symposium Posters A link to view content for Virtual Poster Session C: Doctoral Symposium Posters can be found at recsyshub.org
Doctoral Symposium

Virtual Poster Session C: Doctoral Symposium Posters

Session Chair
Papers
Posters
Demos
Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions
View Page

Pan Li, New York University

Measuring and Mitigating Bias and Harm in Personalized Advertising
View Page

Muhammad Ali, Northeastern University

0.2 Grote Zaal
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-29 03:30 pm 2021-09-29 04:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
16:00
17:30
CEST
Add to Calendar 2021-09-29 04:00 pm 2021-09-29 05:30 pm Europe/Amsterdam Session 8: Algorithmic Advances A link to view content for Session 8: Algorithmic Advances can be found at recsyshub.org
Paper

Session 8: Algorithmic Advances

Session Chair
Paolo Cremonesi, Politecnico di Milano
Papers
Posters
Demos
Next-item Recommendations in Short Sessions
View Page

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

Burst-induced Multi-Armed Bandit for Learning Recommendation
View Page

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

Hierarchical Latent Relation Modeling for Collaborative Metric Learning
View Page

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

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

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

Top-K Contextual Bandits with Equity of Exposure
View Page

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

Learning to Match Job Candidates Using Multilingual Bi-Encoder BERT
View Page

Dor Lavi, Randstad Groep Nederland

 - 
17:30
18:00
CEST
Add to Calendar 2021-09-29 05:30 pm 2021-09-29 06:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: Netflix/Amazon/Naver/Zalando A link to view content for Virtual Sponsor Meet Up: Netflix/Amazon/Naver/Zalando can be found at recsyshub.org
Break

Virtual Sponsor Meet Up: Netflix/Amazon/Naver/Zalando

Session Chair

Netflix Join here
Amazon Join here
Naver Join here
Zalando Join here

0.2 Grote Zaal
 - 
17:30
18:00
CEST
Add to Calendar 2021-09-29 05:30 pm 2021-09-29 06:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
18:00
19:30
CEST
Add to Calendar 2021-09-29 06:00 pm 2021-09-29 07:30 pm Europe/Amsterdam Session 9: Privacy, Fairness, Bias A link to view content for Session 9: Privacy, Fairness, Bias can be found at recsyshub.org
Paper

Session 9: Privacy, Fairness, Bias

Session Chair
Christine Bauer, Utrecht University
Papers
Posters
Demos
Challenges Experienced in Public Service Media Recommendation Systems
View Page

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

Debiased Explainable Pairwise Ranking from Implicit Feedback
View Page

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

Privacy Preserving Collaborative Filtering by Distributed Mediation
View Page

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

Fairness in Reviewer Recommendations at Elsevier
View Page

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

Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback
View Page

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

Mitigating Confounding Bias in Recommendation via Information Bottleneck
View Page

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

 - 
19:30
20:30
CEST
Add to Calendar 2021-09-29 07:30 pm 2021-09-29 08:30 pm Europe/Amsterdam Wonder.me Mingling A link to view content for Wonder.me Mingling can be found at recsyshub.org
Meetup

Wonder.me Mingling

Session Chair
During this time, virtual participants are invited for informal mingling on Wonder.me. Password: @msterd@m21
 - 
20:00
22:00
CEST
Add to Calendar 2021-09-29 08:00 pm 2021-09-29 10:00 pm Europe/Amsterdam Social Event Sponsored by NVIDIA A link to view content for Social Event Sponsored by NVIDIA can be found at recsyshub.org
Meetup

Social Event Sponsored by NVIDIA

Session Chair
Boat Tour
1.1 Administratiezaal
 - 
9:30
13:00
CEST
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 A link to view content for Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications can be found at recsyshub.org
Tutorial

Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications

Session Chair

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, Information Systems Research Group Politecnico di Bari | Fedelucio Narducci, Politecnico di Bari | Claudio Pomo, Polytechnic University of Bari

0.4 Effectenbeurszaal
 - 
9:30
13:00
CEST
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 A link to view content for End-to-End Session-Based Recommendation on GPU can be found at recsyshub.org
Tutorial

End-to-End Session-Based Recommendation on GPU

Session Chair

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

1.9 Berlage Zaal
 - 
11:30
13:00
CEST
Add to Calendar 2021-09-30 11:30 am 2021-09-30 01:00 pm Europe/Amsterdam UPDATE: Perspectives on the Evaluation of Recommender Systems (In Person Only) A link to view content for UPDATE: Perspectives on the Evaluation of Recommender Systems (In Person Only) can be found at recsyshub.org
Workshop

UPDATE: Perspectives on the Evaluation of Recommender Systems (In Person Only)

Session Chair

Eva Zangerle, Department of Computer Science University of Innsbruck | Christine Bauer, Department of Information and Computing Sciences Utrecht University | Alan Said, University of Gothenburg

0.2 Grote Zaal
 - 
13:00
14:00
CEST
Add to Calendar 2021-09-30 01:00 pm 2021-09-30 02:00 pm Europe/Amsterdam Lunch Buffet A link to view content for Lunch Buffet can be found at recsyshub.org
Lunch

Lunch Buffet

Session Chair
Discuss the in-person posters with the authors starting at 13:30 CEST
 - 
13:00
14:00
CEST
Add to Calendar 2021-09-30 01:00 pm 2021-09-30 02:00 pm Europe/Amsterdam Wonder.me Mingling A link to view content for Wonder.me Mingling can be found at recsyshub.org
Meetup

Wonder.me Mingling

Session Chair
During this time, virtual participants are invited for informal mingling on Wonder.me. Password: @msterd@m21
0.4 Effectenbeurszaal
 - 
14:00
15:30
CEST
Add to Calendar 2021-09-30 02:00 pm 2021-09-30 03:30 pm Europe/Amsterdam Session 10: Applications-Driven Advances A link to view content for Session 10: Applications-Driven Advances can be found at recsyshub.org
Paper

Session 10: Applications-Driven Advances

Session Chair
Özlem Özgöbek Norwegian University of Science and Technology
Papers
Posters
Demos
Learning to Represent Human Motives for Goal-directed Web Browsing
View Page

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

Debiased Off-Policy Evaluation for Recommender Systems
View Page

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

Boosting Local Recommendations With Partially Trained Global Model
View Page

Yuxi Zhang, Salesforce | Kexin Xie, Salesforce

Recommendations at Videoland
View Page

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

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

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

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

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

0.2 Grote Zaal
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: NVIDIA A link to view content for Virtual Sponsor Meet Up: NVIDIA can be found at recsyshub.org
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Late Breaking Results A link to view content for Virtual Poster Session D: Late Breaking Results can be found at recsyshub.org
Poster

Virtual Poster Session D: Late Breaking Results

Session Chair
Papers
Posters
Demos
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
View Page

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

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

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

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

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

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

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

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

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

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Demos A link to view content for Virtual Poster Session D: Demos can be found at recsyshub.org
Demo

Virtual Poster Session D: Demos

Session Chair
Papers
Posters
Demos
A Low-Code Tool Supporting the Development of Recommender Systems
View Page

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

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Doctoral Symposium Posters A link to view content for Virtual Poster Session D: Doctoral Symposium Posters can be found at recsyshub.org
Doctoral Symposium

Virtual Poster Session D: Doctoral Symposium Posters

Session Chair
Papers
Posters
Demos
Modeling Users and Items for Recommenders: There Is More than Semantics
View Page

Mete Sertkan, E-Commerce TU Wien

Neural Basket Embedding for Sequential Recommendation
View Page

Vojtěch Vančura, Faculty of Information Technology Czech Technical University

 - 
15:30
16:00
CEST
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Virtual Poster Session D: Industry Posters A link to view content for Virtual Poster Session D: Industry Posters can be found at recsyshub.org
Poster

Virtual Poster Session D: Industry Posters

Session Chair
Papers
Posters
Demos
Scaling Enterprise Recommender Systems for Decentralization
View Page

Maurits van der Goes, The HEINEKEN Company

Scaling TensorFlow to 300 million predictions per second
View Page

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

0.2 Grote Zaal
 - 
15:30
16:00
CEST
Add to Calendar 2021-09-30 03:30 pm 2021-09-30 04:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
16:00
17:30
CEST
Add to Calendar 2021-09-30 04:00 pm 2021-09-30 05:30 pm Europe/Amsterdam Session 11: Practical Issues A link to view content for Session 11: Practical Issues can be found at recsyshub.org
Paper

Session 11: Practical Issues

Session Chair
Ludovico Boratto, University of Cagliari
Papers
Posters
Demos
Drug Discovery as a Recommendation Problem: Challenges and Complexities in Biological Decisions
View Page

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

Denoising User-aware Memory Network for Recommendation
View Page

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

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

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

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

Jacopo Tagliabue, Coveo Labs

Shared Neural Item Representations for Completely Cold Start Problem
View Page

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

A Payload Optimization Method for Federated Recommender Systems
View Page

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

0.2 Grote Zaal
 - 
17:30
18:00
CEST
Add to Calendar 2021-09-30 05:30 pm 2021-09-30 06:00 pm Europe/Amsterdam Virtual Sponsor Meet Up: Booking.com/Elsevier/Spotify/Ebay A link to view content for Virtual Sponsor Meet Up: Booking.com/Elsevier/Spotify/Ebay can be found at recsyshub.org
Break

Virtual Sponsor Meet Up: Booking.com/Elsevier/Spotify/Ebay

Session Chair

Booking.com Join here

Elsevier Join here

Ebay Join here

Spotify Join here

0.2 Grote Zaal
 - 
17:30
18:00
CEST
Add to Calendar 2021-09-30 05:30 pm 2021-09-30 06:00 pm Europe/Amsterdam Coffee Break A link to view content for Coffee Break can be found at recsyshub.org
0.4 Effectenbeurszaal
 - 
18:00
19:30
CEST
Add to Calendar 2021-09-30 06:00 pm 2021-09-30 07:30 pm Europe/Amsterdam Session 12: Real-World Concerns A link to view content for Session 12: Real-World Concerns can be found at recsyshub.org
Paper

Session 12: Real-World Concerns

Session Chair
Alan Said, University of Gothenburg
Papers
Posters
Demos
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
View Page

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

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

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

Semi-Supervised Visual Representation Learning for Fashion Compatibility
View Page

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

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

Xin Zhou, Google Research | Yang Li, Google Research

EX3: Explainable Attribute-aware Item-set Recommendations
View Page

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

Page-level Optimization of e-Commerce Item Recommendations
View Page

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

0.4 Effectenbeurszaal
 - 
19:30
20:00
CEST
Add to Calendar 2021-09-30 07:30 pm 2021-09-30 08:00 pm Europe/Amsterdam Farewell and Reveal 2022 A link to view content for Farewell and Reveal 2022 can be found at recsyshub.org
1.20 Veilingzaal
 - 
9:30
13:00
CEST
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) A link to view content for RecSys in HR: Workshop on Recommender Systems for Human Resources (Hybrid) can be found at recsyshub.org
Workshop

RecSys in HR: Workshop on Recommender Systems for Human Resources (Hybrid)

Session Chair

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

0.2 Grote Zaal
 - 
13:00
14:00
CEST
Add to Calendar 2021-10-01 01:00 pm 2021-10-01 02:00 pm Europe/Amsterdam Lunch Buffet A link to view content for Lunch Buffet can be found at recsyshub.org
Lunch

Lunch Buffet

Session Chair
Discuss the in-person posters with the authors starting at 13:30 CEST
0.4 Effectenbeurszaal
 - 
14:00
19:00
CEST
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) A link to view content for RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline (Hybrid) can be found at recsyshub.org
Workshop

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline (Hybrid)

Session Chair

Vito Walter Anelli, Politecnico di Bari | Saikishore Kalloori, Media Technology Center, 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.

 - 
14:00
19:30
CEST
Add to Calendar 2021-10-01 02:00 pm 2021-10-01 07:30 pm Europe/Amsterdam RecSys in HR: Workshop on Recommender Systems for Human Resources (Virtual Only) A link to view content for RecSys in HR: Workshop on Recommender Systems for Human Resources (Virtual Only) can be found at recsyshub.org
Workshop

RecSys in HR: Workshop on Recommender Systems for Human Resources (Virtual Only)

Session Chair

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

 - 
15:00
17:00
CEST
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) A link to view content for Workshop on Context-Aware Recommender Systems (CARS) 2021 (Virtual Only) can be found at recsyshub.org
Workshop

Workshop on Context-Aware Recommender Systems (CARS) 2021 (Virtual Only)

Session Chair

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

 - 
15:00
19:00
CEST
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) A link to view content for GReS: Workshop on Graph Neural Networks for Recommendation and Search (Virtual Only) can be found at recsyshub.org
Workshop

GReS: Workshop on Graph Neural Networks for Recommendation and Search (Virtual Only)

Session Chair

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

 - 
15:00
19:00
CEST
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) A link to view content for SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research (Virtual Only) can be found at recsyshub.org
Workshop

SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research (Virtual Only)

Session Chair

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

 - 
15:00
19:10
CEST
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) A link to view content for OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems (Virtual Only) can be found at recsyshub.org
Workshop

OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems (Virtual Only)

Session Chair

Antonela Tommasel, ISISTAN, CONICET-UNICEN | Daniela Godoy, ISISTAN, CONICET-UNICEN | Arkaitz Zubiaga, School of Electronic Engineering and Computer Science Queen Mary University of London

 - 
15:00
19:00
CEST
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) A link to view content for XMRec: Workshop on Cross-Market Recommendation (Virtual Only) can be found at recsyshub.org
Workshop

XMRec: Workshop on Cross-Market Recommendation (Virtual Only)

Session Chair

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

 - 
15:00
19:00
CEST
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) A link to view content for ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling (Virtual Only) can be found at recsyshub.org
Workshop

ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling (Virtual Only)

Session Chair

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

 - 
16:00
21:00
CEST
Add to Calendar 2021-10-02 04:00 pm 2021-10-02 09:00 pm Europe/Amsterdam Workshop on Recommender Systems in Fashion and Retail (Virtual Only) A link to view content for Workshop on Recommender Systems in Fashion and Retail (Virtual Only) can be found at recsyshub.org
Workshop

Workshop on Recommender Systems in Fashion and Retail (Virtual Only)

Session Chair

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