Agenda

3rd Floor Prefunction
 - 
8:00
17:30
SGT
Add to Calendar 2023-09-18 08:00 am 2023-09-18 05:30 pm Asia/Singapore Conference Registration and Badge Pick Up A link to view content for Conference Registration and Badge Pick Up can be found at recsyshub.org
330
 - 
9:00
12:35
SGT
Add to Calendar 2023-09-18 09:00 am 2023-09-18 12:35 pm Asia/Singapore DLP: International Workshop on Deep Learning Practice for High-Dimensional Sparse Data A link to view content for DLP: International Workshop on Deep Learning Practice for High-Dimensional Sparse Data can be found at recsyshub.org
Workshop

DLP: International Workshop on Deep Learning Practice for High-Dimensional Sparse Data

Session Chair
336
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-18 09:00 am 2023-09-18 05:35 pm Asia/Singapore Doctoral Symposium (By Invitation Only) A link to view content for Doctoral Symposium (By Invitation Only) can be found at recsyshub.org
Doctoral Symposium

Doctoral Symposium (By Invitation Only)

Session Chair
328
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-18 09:00 am 2023-09-18 05:35 pm Asia/Singapore FAccTRec: The 6th Workshop on Responsible Recommendation A link to view content for FAccTRec: The 6th Workshop on Responsible Recommendation can be found at recsyshub.org
Workshop

FAccTRec: The 6th Workshop on Responsible Recommendation

Session Chair
334
 - 
9:00
12:35
SGT
Add to Calendar 2023-09-18 09:00 am 2023-09-18 12:35 pm Asia/Singapore INRA: International Workshop on News Recommendation and Analytic A link to view content for INRA: International Workshop on News Recommendation and Analytic can be found at recsyshub.org
Workshop

INRA: International Workshop on News Recommendation and Analytic

Session Chair
327
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-18 09:00 am 2023-09-18 05:35 pm Asia/Singapore IntRS’23: 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems A link to view content for IntRS’23: 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems can be found at recsyshub.org
Workshop

IntRS’23: 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

Session Chair
Nicoll 3
 - 
9:00
10:30
SGT
Add to Calendar 2023-09-18 09:00 am 2023-09-18 10:30 am Asia/Singapore Tutorial: On Challenges of Evaluating Recommender Systems in Offline Setting A link to view content for Tutorial: On Challenges of Evaluating Recommender Systems in Offline Setting can be found at recsyshub.org
Tutorial

Tutorial: On Challenges of Evaluating Recommender Systems in Offline Setting

Session Chair
3rd Floor Foyer
 - 
10:30
11:15
SGT
Add to Calendar 2023-09-18 10:30 am 2023-09-18 11:15 am Asia/Singapore Monday AM Coffee Break A link to view content for Monday AM Coffee Break can be found at recsyshub.org
Nicoll 3
 - 
11:15
12:35
SGT
Add to Calendar 2023-09-18 11:15 am 2023-09-18 12:35 pm Asia/Singapore Tutorial: Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives A link to view content for Tutorial: Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives can be found at recsyshub.org
Tutorial

Tutorial: Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives

Session Chair
 - 
12:35
14:00
SGT
Add to Calendar 2023-09-18 12:35 pm 2023-09-18 02:00 pm Asia/Singapore Lunch Break (on own) A link to view content for Lunch Break (on own) can be found at recsyshub.org
331
 - 
14:00
17:35
SGT
Add to Calendar 2023-09-18 02:00 pm 2023-09-18 05:35 pm Asia/Singapore CARS: Workshop on Context-Aware Recommender Systems A link to view content for CARS: Workshop on Context-Aware Recommender Systems can be found at recsyshub.org
Workshop

CARS: Workshop on Context-Aware Recommender Systems

Session Chair
Nicoll 3
 - 
14:00
17:35
SGT
Add to Calendar 2023-09-18 02:00 pm 2023-09-18 05:35 pm Asia/Singapore Tutorial: Recommenders in the Wild / Practical Evaluation Methods A link to view content for Tutorial: Recommenders in the Wild / Practical Evaluation Methods can be found at recsyshub.org
Tutorial

Tutorial: Recommenders in the Wild / Practical Evaluation Methods

Session Chair
Virtual Only
 - 
14:00
17:35
SGT
Add to Calendar 2023-09-18 02:00 pm 2023-09-18 05:35 pm Asia/Singapore fashionXrecsys: Recommender Systems in Fashion & Retail A link to view content for fashionXrecsys: Recommender Systems in Fashion & Retail can be found at recsyshub.org
Workshop

fashionXrecsys: Recommender Systems in Fashion & Retail

Session Chair
3rd Floor Foyer
 - 
15:20
16:05
SGT
Add to Calendar 2023-09-18 03:20 pm 2023-09-18 04:05 pm Asia/Singapore Monday PM Coffee Break A link to view content for Monday PM Coffee Break can be found at recsyshub.org
3rd Floor Prefunction
 - 
8:00
18:30
SGT
Add to Calendar 2023-09-19 08:00 am 2023-09-19 06:30 pm Asia/Singapore Conference Registration and Badge Pick Up A link to view content for Conference Registration and Badge Pick Up can be found at recsyshub.org
329
 - 
9:00
12:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 12:35 pm Asia/Singapore BehavRec: Workshop on Recommendations for Behavior Change A link to view content for BehavRec: Workshop on Recommendations for Behavior Change can be found at recsyshub.org
Workshop

BehavRec: Workshop on Recommendations for Behavior Change

Session Chair
331
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 05:35 pm Asia/Singapore CONSEQUENCES: The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender systems A link to view content for CONSEQUENCES: The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender systems can be found at recsyshub.org
Workshop

CONSEQUENCES: The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender systems

Session Chair
332
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 05:35 pm Asia/Singapore MuRS: Music Recommender Systems Workshop A link to view content for MuRS: Music Recommender Systems Workshop can be found at recsyshub.org
Workshop

MuRS: Music Recommender Systems Workshop

Session Chair
334
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 05:35 pm Asia/Singapore NORMalize: The 1st Workshop on Normative Design and Evaluation of Recommender Systems A link to view content for NORMalize: The 1st Workshop on Normative Design and Evaluation of Recommender Systems can be found at recsyshub.org
Workshop

NORMalize: The 1st Workshop on Normative Design and Evaluation of Recommender Systems

Session Chair
328
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 05:35 pm Asia/Singapore ORSUM: 6th Workshop on Online Recommender Systems and User Modeling A link to view content for ORSUM: 6th Workshop on Online Recommender Systems and User Modeling can be found at recsyshub.org
Workshop

ORSUM: 6th Workshop on Online Recommender Systems and User Modeling

Session Chair
330
 - 
9:00
12:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 12:35 pm Asia/Singapore PERSPECTIVES: 3rd Workshop: Perspectives on the Evaluation of Recommender Systems A link to view content for PERSPECTIVES: 3rd Workshop: Perspectives on the Evaluation of Recommender Systems can be found at recsyshub.org
Workshop

PERSPECTIVES: 3rd Workshop: Perspectives on the Evaluation of Recommender Systems

Session Chair
327
 - 
9:00
12:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 12:35 pm Asia/Singapore RecSys Challenge A link to view content for RecSys Challenge can be found at recsyshub.org
336
 - 
9:00
17:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 05:35 pm Asia/Singapore RecSys in HR: 3rd Workshop on Recommender Systems for Human Resources A link to view content for RecSys in HR: 3rd Workshop on Recommender Systems for Human Resources can be found at recsyshub.org
Workshop

RecSys in HR: 3rd Workshop on Recommender Systems for Human Resources

Session Chair
Nicoll 3
 - 
9:00
12:35
SGT
Add to Calendar 2023-09-19 09:00 am 2023-09-19 12:35 pm Asia/Singapore Tutorial: Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives A link to view content for Tutorial: Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives can be found at recsyshub.org
Tutorial

Tutorial: Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives

Session Chair
3rd Floor Foyer
 - 
10:30
11:15
SGT
Add to Calendar 2023-09-19 10:30 am 2023-09-19 11:15 am Asia/Singapore Tuesday AM Coffee Break A link to view content for Tuesday AM Coffee Break can be found at recsyshub.org
Break

Tuesday AM Coffee Break

Session Chair
Sponsored by Google
329
 - 
14:00
17:35
SGT
Add to Calendar 2023-09-19 02:00 pm 2023-09-19 05:35 pm Asia/Singapore KaRS: Fifth Knowledge-aware and Conversational Recommender Systems Workshop A link to view content for KaRS: Fifth Knowledge-aware and Conversational Recommender Systems Workshop can be found at recsyshub.org
Workshop

KaRS: Fifth Knowledge-aware and Conversational Recommender Systems Workshop

Session Chair
330
 - 
14:00
17:35
SGT
Add to Calendar 2023-09-19 02:00 pm 2023-09-19 05:35 pm Asia/Singapore LERI: Workshop on Learning and Evaluating Recommendations with Impressions A link to view content for LERI: Workshop on Learning and Evaluating Recommendations with Impressions can be found at recsyshub.org
Workshop

LERI: Workshop on Learning and Evaluating Recommendations with Impressions

Session Chair
335
 - 
14:00
17:35
SGT
Add to Calendar 2023-09-19 02:00 pm 2023-09-19 05:35 pm Asia/Singapore RecTour: Workshop on Recommenders in Tourism 2023 A link to view content for RecTour: Workshop on Recommenders in Tourism 2023 can be found at recsyshub.org
Workshop

RecTour: Workshop on Recommenders in Tourism 2023

Session Chair
Meeting ID: 649 6293 1905, Password: zpL0SDg5
Nicoll 3
 - 
14:00
15:20
SGT
Add to Calendar 2023-09-19 02:00 pm 2023-09-19 03:20 pm Asia/Singapore Tutorial: On Large Language Models for Recommendation A link to view content for Tutorial: On Large Language Models for Recommendation can be found at recsyshub.org
Tutorial

Tutorial: On Large Language Models for Recommendation

Session Chair
327
 - 
14:00
17:35
SGT
Add to Calendar 2023-09-19 02:00 pm 2023-09-19 05:35 pm Asia/Singapore VideoRecSys: First Workshop on Large-Scale Video Recommender Systems A link to view content for VideoRecSys: First Workshop on Large-Scale Video Recommender Systems can be found at recsyshub.org
Workshop

VideoRecSys: First Workshop on Large-Scale Video Recommender Systems

Session Chair
3rd Floor Foyer
 - 
15:20
16:05
SGT
Add to Calendar 2023-09-19 03:20 pm 2023-09-19 04:05 pm Asia/Singapore Tuesday PM Coffee Break A link to view content for Tuesday PM Coffee Break can be found at recsyshub.org
Break

Tuesday PM Coffee Break

Session Chair
Sponsored by Google
Nicoll 3
 - 
16:05
17:35
SGT
Add to Calendar 2023-09-19 04:05 pm 2023-09-19 05:35 pm Asia/Singapore Tutorial: User Behavior Modeling with Deep Learning for Recommendation: Recent Advances A link to view content for Tutorial: User Behavior Modeling with Deep Learning for Recommendation: Recent Advances can be found at recsyshub.org
Tutorial

Tutorial: User Behavior Modeling with Deep Learning for Recommendation: Recent Advances

Session Chair
Hall 405
 - 
18:00
20:00
SGT
Add to Calendar 2023-09-19 06:00 pm 2023-09-19 08:00 pm Asia/Singapore RecSys Welcome Reception A link to view content for RecSys Welcome Reception can be found at recsyshub.org
Meetup

RecSys Welcome Reception

Session Chair
Sponsored by TikTok
4th Floor Prefunction
 - 
8:00
17:30
SGT
Add to Calendar 2023-09-20 08:00 am 2023-09-20 05:30 pm Asia/Singapore Conference Registration and Badge Pick Up A link to view content for Conference Registration and Badge Pick Up can be found at recsyshub.org
405
 - 
8:30
9:00
SGT
Add to Calendar 2023-09-20 08:30 am 2023-09-20 09:00 am Asia/Singapore Sponsor Meet-Up: Amazon A link to view content for Sponsor Meet-Up: Amazon can be found at recsyshub.org
Hall 405
 - 
8:30
17:45
SGT
Add to Calendar 2023-09-20 08:30 am 2023-09-20 05:45 pm Asia/Singapore Wednesday Posters A link to view content for Wednesday Posters can be found at recsyshub.org
Hall 406 CX
 - 
9:00
10:30
SGT
Add to Calendar 2023-09-20 09:00 am 2023-09-20 10:30 am Asia/Singapore Welcome and Keynote: "From Documents to Dialogues: How LLMs are Shaping the Future of Work" A link to view content for Welcome and Keynote: "From Documents to Dialogues: How LLMs are Shaping the Future of Work" can be found at recsyshub.org
Keynote

Welcome and Keynote: "From Documents to Dialogues: How LLMs are Shaping the Future of Work"

Session Chair

Presented by Jaime Teevan (Microsoft)

Moderated by Tommaso di Noia

405
 - 
10:30
11:00
SGT
Add to Calendar 2023-09-20 10:30 am 2023-09-20 11:00 am Asia/Singapore Sponsor Meet-Up: Coolita A link to view content for Sponsor Meet-Up: Coolita can be found at recsyshub.org
Hall 405
 - 
10:30
11:15
SGT
Add to Calendar 2023-09-20 10:30 am 2023-09-20 11:15 am Asia/Singapore Wednesday AM Coffee and Posters A link to view content for Wednesday AM Coffee and Posters can be found at recsyshub.org
Hall 406 CX
 - 
11:15
12:35
SGT
Add to Calendar 2023-09-20 11:15 am 2023-09-20 12:35 pm Asia/Singapore Session 1: Collaborative filtering 1 A link to view content for Session 1: Collaborative filtering 1 can be found at recsyshub.org
Paper

Session 1: Collaborative filtering 1

Session Chair
Toine Bogers
Papers
Posters
Demos
Adversarial Collaborative Filtering for Free
View Page

Huiyuan Chen (Visa Research), Xiaoting Li (Visa Research), Vivian Lai (Visa Research), Chin-Chia Michael Yeh (Visa Research), Yujie Fan (Visa Research), Yan Zheng (Visa Research), Mahashweta Das (Visa Research) and Hao Yang (Visa Research).

Augmented Negative Sampling for Collaborative Filtering
View Page

Yuhan Zhao (Harbin Engineering University), Rui Chen (Harbin Engineering University), Riwei Lai (Harbin Engineering University), Qilong Han (Harbin Engineering University), Hongtao Song (Harbin Engineering University) and Li Chen (Hong Kong Baptist University)

Efficient Data Representation Learning in Google-scale Systems
View Page

Derek Cheng (Google DeepMind), Ruoxi Wang (Google DeepMind), Wang-Cheng Kang (Google DeepMind), Benjamin Coleman (Google DeepMind), Yin Zhang (Google DeepMind), Jianmo Ni (Google DeepMind), Jonathan Valverde (Google DeepMind), Lichan Hong (Google DeepMind) and Ed Chi (Google DeepMind)

The effect of third party implementations on reproducibility
View Page

Balázs Hidasi (Gravity R&D, a Taboola company) and Ádám Tibor Czapp (Gravity R&D, a Taboola company)

Hall 406 D
 - 
11:15
12:35
SGT
Add to Calendar 2023-09-20 11:15 am 2023-09-20 12:35 pm Asia/Singapore Session 2: Click-Through Rate prediction A link to view content for Session 2: Click-Through Rate prediction can be found at recsyshub.org
Paper

Session 2: Click-Through Rate prediction

Session Chair
Zhenhua Dong
Papers
Posters
Demos
Gradient Matching for Categorical Data Distillation in CTR Prediction
View Page

Cheng Wang (School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan), Jiacheng Sun (Huawei Noah’s Ark Lab), Zhenhua Dong (Huawei Noah’s Ark Lab), Ruixuan Li (School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan) and Rui Zhang (ruizhang.info)

Deep Situation-Aware Interaction Network for Click-Through Rate Prediction
View Page

Yimin Lv (Institute of Software, Chinese Academy of Sciences), Shuli Wang (Meituan), Beihong Jin (Institute of Software, Chinese Academy of Sciences), Yisong Yu (Institute of Software, Chinese Academy of Sciences), Yapeng Zhang (Meituan), Jian Dong (Meituan), Yongkang Wang (Meituan), Xingxing Wang (Meituan) and Dong Wang (Meituan)

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction
View Page

Yujun Li (Noah’s Ark Lab), Xing Tang (Noah’s Ark Lab), Bo Chen (Noah’s Ark Lab), Yimin Huang (Noah’s Ark Lab), Ruiming Tang (Noah’s Ark Lab) and Zhenguo Li (Noah’s Ark Lab)

Loss Harmonizing for Multi-Scenario CTR Prediction
View Page

Congcong Liu (JD.com), Liang Shi (JD.com), Pei Wang (JD.com), Fei Teng (JD.com), Xue Jiang (JD.com), Changping Peng (JD.com), Zhangang Lin (JD.com) and Jingping Shao (JD.com)

Hall 405
 - 
12:35
14:00
SGT
Add to Calendar 2023-09-20 12:35 pm 2023-09-20 02:00 pm Asia/Singapore Wednesday Lunch (on own) and Posters A link to view content for Wednesday Lunch (on own) and Posters can be found at recsyshub.org
Hall 406 CX
 - 
14:00
15:20
SGT
Add to Calendar 2023-09-20 02:00 pm 2023-09-20 03:20 pm Asia/Singapore Session 3: Applications A link to view content for Session 3: Applications can be found at recsyshub.org
Paper

Session 3: Applications

Session Chair
Alan Said
Papers
Posters
Demos
HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation
View Page

Felix Bölz (INSA Lyon & University of Passau), Diana Nurbakova (INSA Lyon), Sylvie Calabretto (INSA Lyon), Armin Gerl (University of Passau), Lionel Brunie (INSA Lyon) and Harald Kosch (University of Passau)

Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets
View Page

Yoji Tomita (CyberAgent, Inc.), Riku Togashi (CyberAgent, Inc.), Yuriko Hashizume (CyberAgent, Inc.) and Naoto Ohsaka (CyberAgent, Inc.)

Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
View Page

Boming Yang (The University of Tokyo), Dairui Liu (University College Dublin), Toyotaro Suzumura (The University of Tokyo), Ruihai Dong (University College Dublin) and Irene Li (The University of Tokyo)

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping
View Page

Ming Li (University of Amsterdam), Mozhdeh Ariannezhad (University of Amsterdam), Andrew Yates (University of Amsterdam) and Maarten de Rijke (University of Amsterdam)

Hall 406 D
 - 
14:00
15:20
SGT
Add to Calendar 2023-09-20 02:00 pm 2023-09-20 03:20 pm Asia/Singapore Session 4: Trustworthy Recommendation A link to view content for Session 4: Trustworthy Recommendation can be found at recsyshub.org
Paper

Session 4: Trustworthy Recommendation

Session Chair
Michael Ekstrand
Papers
Posters
Demos
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation
View Page

Jiakai Tang (Gaoling School of Artificial Intelligence, Renmin University of China), Shiqi Shen (Wechat, Tencent, Beijing), Zhipeng Wang (Wechat, Tencent, Beijing), Zhi Gong (Wechat, Tencent, Beijing), Jingsen Zhang (Gaoling School of Artificial Intelligence, Renmin University of China) and Xu Chen (Gaoling School of Artificial Intelligence, Renmin University of China)


Towards Robust Fairness-aware Recommendation
View Page

Hao Yang (Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China), Zhining Liu (Ant Group), Zeyu Zhang (Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China), Chenyi Zhuang (Ant Group) and Xu Chen (Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China)

Two-sided Calibration for Quality-aware Responsible Recommendation
View Page

Chenyang Wang (Tsinghua University), Yankai Liu (China Mobile Research), Yuanqing Yu (Tsinghua University), Weizhi Ma (Tsinghua University), Min Zhang (Tsinghua University), Yiqun Liu (Tsinghua University), Haitao Zeng (China Mobile Research), Junlan Feng (China Mobile Research) and Chao Deng (China Mobile Research)

RecAD : Towards A Unified Library for Recommender Attack and Defense
View Page

Changsheng Wang (University of Science and Technology of China), Jianbai Ye (University of Science and Technology of China), Wenjie Wang (National University of Singapore), Chongming Gao (University of Science and Technology of China), Fuli Feng (University of Science and Technology of China) and Xiangnan He (University of Science and Technology of China)

405
 - 
15:20
15:50
SGT
Add to Calendar 2023-09-20 03:20 pm 2023-09-20 03:50 pm Asia/Singapore Sponsor Meet-Up: Huawei A link to view content for Sponsor Meet-Up: Huawei can be found at recsyshub.org
Hall 405
 - 
15:20
16:05
SGT
Add to Calendar 2023-09-20 03:20 pm 2023-09-20 04:05 pm Asia/Singapore Wednesday PM Coffee and Posters A link to view content for Wednesday PM Coffee and Posters can be found at recsyshub.org
Hall 406 CX
 - 
16:05
17:25
SGT
Add to Calendar 2023-09-20 04:05 pm 2023-09-20 05:25 pm Asia/Singapore Session 5: Sequential Recommendation 1 A link to view content for Session 5: Sequential Recommendation 1 can be found at recsyshub.org
Paper

Session 5: Sequential Recommendation 1

Session Chair
Craig MacDonald
Papers
Posters
Demos
Distribution-based Learnable Filters with Side Information for Sequential Recommendation
View Page

Haibo Liu (School of Cyber Security and Computer, HeBei university), Zhixiang Deng (School of Cyber Security and Computer, HeBei university), Liang Wang (School of Cyber Security and Computer, HeBei university), Jinjia Peng (School of Cyber Security and Computer, HeBei university) and Shi Feng (School of Computer Science & Engineering, Northeastern University)

Reciprocal Sequential Recommendation
View Page

Bowen Zheng (Renmin University of China), Yupeng Hou (Renmin University of China), Wayne Xin Zhao (Renmin University of China), Yang Song (BOSS Zhipin) and Hengshu Zhu (BOSS Zhipin)

STRec: Sparse Transformer for Sequential Recommendations
View Page

Chengxi Li (City University of Hong Kong), Xiangyu Zhao (City University of Hong Kong), Yejing Wang (City University of Hong Kong), Qidong Liu (Xi’an Jiaotong University, City University of Hong Kong), Wanyu Wang (City University of Hong Kong), Yiqi Wang (Michigan State University), Lixin Zou (Wuhan University), Wenqi Fan (The Hong Kong Polytechnic University) and Qing Li (The Hong Kong Polytechnic University)

Track Mix Generation on Music Streaming Services using Transformers
View Page

Walid Bendada (Deezer Research), Théo Bontempelli (Deezer Research), Mathieu Morlon (Deezer Research), Benjamin Chapus (Deezer Research), Thibault Cador (Deezer Research), Thomas Bouabça (Deezer Research) and Guillaume Salha-Galvan (Deezer Research)

Hall 406 D
 - 
16:05
17:25
SGT
Add to Calendar 2023-09-20 04:05 pm 2023-09-20 05:25 pm Asia/Singapore Session 6: Graphs A link to view content for Session 6: Graphs can be found at recsyshub.org
Paper

Session 6: Graphs

Session Chair
Robin Burke
Papers
Posters
Demos
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
View Page

Yuwei Cao (University of Illinois at Chicago), Liangwei Yang (University of Illinois Chicago), Chen Wang (University of Illinois Chicago), Zhiwei Liu (Salesforce Inc.), Hao Peng (Beihang University), Chenyu You (Yale University) and Philip Yu (University of Illinois Chicago).

LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee’s Advertisement Recommendation
View Page

Dang Minh Nguyen (Shopee, SEA Group), Chenfei Wang (Shopee, SEA Group), Yan Shen (Shopee, SEA Group) and Yifan Zeng (Shopee, SEA Group)

Multi-Relational Contrastive Learning for Recommendation
View Page

Wei Wei (University of Hong Kong), Lianghao Xia (University of Hong Kong) and Chao Huang (University of Hong Kong)

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
View Page

Vito Walter Anelli (Politecnico di Bari), Daniele Malitesta (Polytechnic University of Bari), Claudio Pomo (Politecnico di Bari), Alejandro Bellogin (Universidad Autonoma de Madrid), Eugenio Di Sciascio (Politecnico di Bari) and Tommaso Di Noia (Politecnico di Bari)

4th Floor Prefunction
 - 
8:00
17:30
SGT
Add to Calendar 2023-09-21 08:00 am 2023-09-21 05:30 pm Asia/Singapore Conference Registration and Badge Pick Up A link to view content for Conference Registration and Badge Pick Up can be found at recsyshub.org
Hall 405
 - 
8:30
17:45
SGT
Add to Calendar 2023-09-21 08:30 am 2023-09-21 05:45 pm Asia/Singapore Thursday Posters A link to view content for Thursday Posters can be found at recsyshub.org
330
 - 
8:30
9:30
SGT
Add to Calendar 2023-09-21 08:30 am 2023-09-21 09:30 am Asia/Singapore Women in RecSys Breakfast A link to view content for Women in RecSys Breakfast can be found at recsyshub.org

Women in RecSys Breakfast

Session Chair

Pre-registration required

405
 - 
8:45
9:15
SGT
Add to Calendar 2023-09-21 08:45 am 2023-09-21 09:15 am Asia/Singapore Sponsor Meet-Up: Google A link to view content for Sponsor Meet-Up: Google can be found at recsyshub.org
Hall 406 CX
 - 
9:30
10:30
SGT
Add to Calendar 2023-09-21 09:30 am 2023-09-21 10:30 am Asia/Singapore Keynote: "Towards Generative Search and Recommendation" A link to view content for Keynote: "Towards Generative Search and Recommendation" can be found at recsyshub.org
Keynote

Keynote: "Towards Generative Search and Recommendation"

Session Chair

Presented by Tat-Seng Chua (National University of SIngapore)

Moderated by Min Zhang

405
 - 
10:30
11:00
SGT
Add to Calendar 2023-09-21 10:30 am 2023-09-21 11:00 am Asia/Singapore Sponsor Meet-Up: Amazon A link to view content for Sponsor Meet-Up: Amazon can be found at recsyshub.org
Hall 405
 - 
10:30
11:15
SGT
Add to Calendar 2023-09-21 10:30 am 2023-09-21 11:15 am Asia/Singapore Thursday AM Coffee and Posters A link to view content for Thursday AM Coffee and Posters can be found at recsyshub.org
Hall 406 CX
 - 
11:15
12:35
SGT
Add to Calendar 2023-09-21 11:15 am 2023-09-21 12:35 pm Asia/Singapore Session 7: Interactive Recommendation 1 A link to view content for Session 7: Interactive Recommendation 1 can be found at recsyshub.org
Paper

Session 7: Interactive Recommendation 1

Session Chair
Fedulucio Narducci
Papers
Posters
Demos
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback
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Yaxiong Wu (University of Glasgow), Craig Macdonald (University of Glasgow) and Iadh Ounis (University of Glasgow

Alleviating the Long-Tail Problem in Conversational Recommender Systems
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Zhipeng Zhao (Singapore Management University), Kun Zhou (School of Information, Renmin University of China), Xiaolei Wang (Gaoling School of Artificial Intelligence, Renmin University of China), Wayne Xin Zhao (Gaoling School of Artificial Intelligence, Renmin University of China), Fan Pan (Poisson Lab, Huawei), Zhao Cao (Poisson Lab, Huawei) and Ji-Rong Wen (Gaoling School of Artificial Intelligence, Renmin University of China)

Data-free Knowledge Distillation for Reusing Recommendation Models
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Cheng Wang (Huazhong University of Science and Technology), Jiacheng Sun (Huawei Noah’s Ark Lab), Zhenhua Dong (Huawei Noah’s Ark Lab), Jieming Zhu (Huawei Noah’s Ark Lab), Zhenguo Li (Huawei Noah’s Ark Lab), Ruixuan Li (Huazhong University of Science and Technology) and Rui Zhang (ruizhang.info)

Online Matching: A Real-time Bandit System for Large-scale Recommendations
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Xinyang Yi (Google), Shao-Chuan Wang (Google), Ruining He (Google), Hariharan Chandrasekaran (Google), Charles Wu (Google), Lukasz Heldt (Google), Lichan Hong (Google), Minmin Chen (Google) and Ed Chi (Google).

Hall 406 D
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11:15
12:35
SGT
Add to Calendar 2023-09-21 11:15 am 2023-09-21 12:35 pm Asia/Singapore Session 8: Knowledge and Context A link to view content for Session 8: Knowledge and Context can be found at recsyshub.org
Paper

Session 8: Knowledge and Context

Session Chair
Vito Walter Anelli
Papers
Posters
Demos
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation
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Meng Yuan (Institute of Artificial Intelligence, Beihang University, Beijing 100191, China), Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University, Beijing 100191, China), Zhao Zhang (University of Chinese Academy of Sciences, Beijing 100191, China), Deqing Wang (School of Computer Science and Engineering, Beihang University, Beijing 100191, China) and Jin Dong (Beijing Academy of Blockchain and Edge Computing)

KGTORe: Tailored Recommendations through Knowledge-aware GNN Models
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Alberto Carlo Maria Mancino (Politecnico di Bari), Antonio Ferrara (Politecnico di Bari), Salvatore Bufi (Polytechnic University of Bari), Daniele Malitesta (Polytechnic University of Bari), Tommaso Di Noia (Polytechnic University of Bari) and Eugenio Di Sciascio (Polytechnic University of Bari)

Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation
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Dugang Liu (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)), Yuhao Wu (Shenzhen University), Weixin Li (Shenzhen University), Xiaolian Zhang (Huawei 2012 Lab), Hao Wang (Huawei 2012 Lab), Qinjuan Yang (Huawei 2012 Lab) and Zhong Ming (College of Computer Science and Software Engineering, Shenzhen University)

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
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Bin Yin (Meituan), Junjie Xie (Meituan), Yu Qin (Meituan), Zixiang Ding (Meituan), Zhichao Feng (Meituan), Xiang Li (Unaffiliated) and Wei Lin (Unaffiliated)

Hall 405
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12:35
14:00
SGT
Add to Calendar 2023-09-21 12:35 pm 2023-09-21 02:00 pm Asia/Singapore Thursday Lunch (on own) and Posters A link to view content for Thursday Lunch (on own) and Posters can be found at recsyshub.org
Hall 406 D
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14:00
15:20
SGT
Add to Calendar 2023-09-21 02:00 pm 2023-09-21 03:20 pm Asia/Singapore Session 10: Reinforcement Learning A link to view content for Session 10: Reinforcement Learning can be found at recsyshub.org
Paper

Session 10: Reinforcement Learning

Session Chair
Oren Sar Shalom
Papers
Posters
Demos
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
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Kabir Nagrecha (University of California, San Diego), Lingyi Liu (Netflix, Inc.), Pablo Delgado (Netflix, Inc.) and Prasanna Padmanabhan (Netflix, Inc.)

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach
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Zhi Zheng (University of Science and Technology of China), Ying Sun (The Hong Kong University of Science and Technology (Guangzhou)), Xin Song (Baidu), Hengshu Zhu (BOSS Zhipin) and Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou))

Correcting for Interference in Experiments: A Case Study at Douyin
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Vivek Farias (MIT), Hao Li (Bytedance), Tianyi Peng (MIT), Xinyuyang Ren (Bytedance), Huawei Zhang (Bytedance) and Andrew Zheng (MIT)

Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives
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Vincenzo Paparella (Politecnico di Bari), Vito Walter Anelli (Politecnico di Bari), Ludovico Boratto (University of Cagliari) and Tommaso Di Noia (Politecnico di Bari)

Hall 406 CX
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14:00
15:20
SGT
Add to Calendar 2023-09-21 02:00 pm 2023-09-21 03:20 pm Asia/Singapore Session 9: Collaborative filtering 2 A link to view content for Session 9: Collaborative filtering 2 can be found at recsyshub.org
Paper

Session 9: Collaborative filtering 2

Session Chair
Markus Schedl
Papers
Posters
Demos
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
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Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu and Sunghun Kim

Trending Now: Modeling Trend Recommendations
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Hao Ding, Branislav Kveton, Yifei Ma, Youngsuk Park, Venkataramana Kini, Yupeng Gu, Ravi Divvela, Fei Wang, Anoop Deoras and Hao Wang

A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
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Norman Knyazev and Harrie Oosterhuis

Investigating the effects of incremental training on neural ranking models
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Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal and Chris Green

405
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15:20
15:50
SGT
Add to Calendar 2023-09-21 03:20 pm 2023-09-21 03:50 pm Asia/Singapore Sponsor Meet-Up: Netflix A link to view content for Sponsor Meet-Up: Netflix can be found at recsyshub.org
Hall 405
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15:20
16:05
SGT
Add to Calendar 2023-09-21 03:20 pm 2023-09-21 04:05 pm Asia/Singapore Thursday PM Coffee and Posters A link to view content for Thursday PM Coffee and Posters can be found at recsyshub.org
Hall 406 CX
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16:05
17:25
SGT
Add to Calendar 2023-09-21 04:05 pm 2023-09-21 05:25 pm Asia/Singapore Session 11: Sequential Recommendation 2 A link to view content for Session 11: Sequential Recommendation 2 can be found at recsyshub.org
Paper

Session 11: Sequential Recommendation 2

Session Chair
Robin Burke
Papers
Posters
Demos
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
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Aleksandr V. Petrov (University of Glasgow) and Craig Macdonald (University of Glasgow)

Equivariant Contrastive Learning for Sequential Recommendation
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Peilin Zhou (HKUST (Guangzhou)), Jingqi Gao (Upstage), Yueqi Xie (HKUST), Qichen Ye (Peking University), Yining Hua (Harvard Medical School), Jaeboum Kim (The University of Hong Kong Science and Technology, Upstage), Shoujin Wang (Data Science Institute, University of Technology Sydney) and Sunghun Kim (The University of Hong Kong Science and Technology)

Contrastive Learning with Frequency-Domain Interest Trends for Sequential Recommendation
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Yichi Zhang (Harbin Engineering University), Guisheng Yin (Harbin Engineering University) and Yuxin Dong (Harbin Engineering University)

Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning
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Xuewen Tao (Mybank, Ant Group), Mingming Ha (School of Automation and Electrical Engineering, University of Science and Technology Bejing; Mybank, Ant Group), Qiongxu Ma (Mybank, Ant Group), Hongwei Cheng (Mybank, Ant Group), Wenfang Lin (Mybank, Ant Group) and Xiaobo Guo (Institute of Information Science, Beijing Jiaotong Univeristy; Mybank, Ant Group)

Hall 406 D
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16:05
17:25
SGT
Add to Calendar 2023-09-21 04:05 pm 2023-09-21 05:25 pm Asia/Singapore Session 12: Evaluation A link to view content for Session 12: Evaluation can be found at recsyshub.org
Paper

Session 12: Evaluation

Session Chair
Christine Bauer
Papers
Posters
Demos
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News
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Lien Michiels (UAntwerpen), Jorre Vannieuwenhuyze (Statistiek Vlaanderen), Jens Leysen (University of Antwerp), Robin Verachtert (Froomle NV), Annelien Smets (imec-SMIT, Vrije Universiteit Brussel) and Bart Goethals (University of Antwerp)

Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models
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Faisal Shehzad (University of Klagenfurt) and Dietmar Jannach (University of Klagenfurt)

What We Evaluate When We Evaluate Recommender Systems: Understanding Recommender Systems’ Performance using Item Response Theory
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Yang Liu (University of Helsinki), Alan Medlar (University of Helsinki) and Dorota Glowacka (University of Helsinki)

Identifying Controversial Pairs in Item-to-Item Recommendations
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Junyi Shen (Apple), Dayvid Rodrigues de Oliveira (Apple), Jin Cao (Apple), Brian Knott (Apple), Goodman Gu (Apple), Sindhu Vijaya Raghavan (Apple) and Rob Monarch (Apple)

Marina Bay Sands: Level 5 Sands Grand Ballroom
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18:30
21:30
SGT
Add to Calendar 2023-09-21 06:30 pm 2023-09-21 09:30 pm Asia/Singapore RecSys Banquet at Marina Bay Sands A link to view content for RecSys Banquet at Marina Bay Sands can be found at recsyshub.org

RecSys Banquet at Marina Bay Sands

Session Chair
Sponsored by Huawei | Doors Open at 6:15 pm | Program Starts at 6:30 pm
4th Floor Prefunction
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8:30
18:00
SGT
Add to Calendar 2023-09-22 08:30 am 2023-09-23 06:00 pm Asia/Singapore Conference Registration and Badge Pick Up A link to view content for Conference Registration and Badge Pick Up can be found at recsyshub.org
Hall 405
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8:30
16:05
SGT
Add to Calendar 2023-09-22 08:30 am 2023-09-22 04:05 pm Asia/Singapore Friday Posters A link to view content for Friday Posters can be found at recsyshub.org
Hall 406 CX
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9:30
10:30
SGT
Add to Calendar 2023-09-22 09:30 am 2023-09-22 10:30 am Asia/Singapore Keynote: "Recommendation systems: Challenges and solutions" A link to view content for Keynote: "Recommendation systems: Challenges and solutions" can be found at recsyshub.org
Keynote

Keynote: "Recommendation systems: Challenges and solutions"

Session Chair

Presented by Rajeev Rastogi (Amazon)

Moderated by Shlomo Berkovsky

Hall 405
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10:30
11:15
SGT
Add to Calendar 2023-09-22 10:30 am 2023-09-22 11:15 am Asia/Singapore Friday AM Coffee and Posters A link to view content for Friday AM Coffee and Posters can be found at recsyshub.org
Virtual Only
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10:30
11:00
SGT
Add to Calendar 2023-09-22 10:30 am 2023-09-22 11:00 am Asia/Singapore Sponsor Meet-Up: Netflix A link to view content for Sponsor Meet-Up: Netflix can be found at recsyshub.org
405
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10:30
11:00
SGT
Add to Calendar 2023-09-22 10:30 am 2023-09-22 11:00 am Asia/Singapore Sponsor Meet-Up: TikTok A link to view content for Sponsor Meet-Up: TikTok can be found at recsyshub.org
Hall 406 CX
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11:15
12:35
SGT
Add to Calendar 2023-09-22 11:15 am 2023-09-22 12:35 pm Asia/Singapore Session 13: Side Information, Items structure and Relations A link to view content for Session 13: Side Information, Items structure and Relations can be found at recsyshub.org
Paper

Session 13: Side Information, Items structure and Relations

Session Chair
Iadh Ounis
Papers
Posters
Demos
Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation
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Zhen Gong (Shanghai Jiao Tong University), Xin Wu (Bytedance Inc.), Lei Chen (Bytedance Inc.), Zhenzhe Zheng (Shanghai Jiao Tong University), Shengjie Wang (Bytedance Inc.), Anran Xu (Shanghai Jiao Tong University), Chong Wang (Bytedance Inc.) and Fan Wu (Shanghai Jiao Tong University)

SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation
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Andreas Peintner (Universität Innsbruck), Amir Reza Mohammadi (Universität Innsbruck) and Eva Zangerle (Universität Innsbruck)

Accelerating Creator Audience Building through Centralized Exploration
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Buket Baran (Spotify), Guilherme Dinis Junior (Spotify), Antonina Danylenko (Spotify), Olayinka S. Folorunso (Spotify), Gösta Forsum (Spotify), Maksym Lefarov (Spotify), Lucas Maystre (Spotify) and Yu Zhao (Spotify)

Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata
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Saurabh Agrawal (Tubi), John Trenkle (Tubi) and Jaya Kawale (Tubi)

Hall 406 D
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11:15
12:35
SGT
Add to Calendar 2023-09-22 11:15 am 2023-09-22 12:35 pm Asia/Singapore Session 14: Multi-task Recommendation A link to view content for Session 14: Multi-task Recommendation can be found at recsyshub.org
Paper

Session 14: Multi-task Recommendation

Session Chair
Cataldo Musto
Papers
Posters
Demos
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation
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Wanda Li (Tsinghua University), Wenhao Zheng (Shopee Company), Xuanji Xiao (Shopee Company) and Suhang Wang (Penn State University)

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction
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Youchen Sun (Nanyang Technological University), Zhu Sun (A*STAR), Xiao Sha (Nanyang Technological University), Jie Zhang (Nanyang Technological University) and Yew Soon Ong (Nanyang Technological University)

BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation
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Qianzhen Rao (Shenzhen University), Yang Liu (Shenzhen University), Weike Pan (Shenzhen University) and Zhong Ming (Shenzhen University)

MLCM: A Multi-task Large Pre-trained Customer Model for Personalization
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Rui Luo (Amazon), Tianxin Wang (Amazon), Jingyuan Deng (Amazon) and Peng Wan (Amazon)

Hall 405
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12:35
14:00
SGT
Add to Calendar 2023-09-22 12:35 pm 2023-09-22 02:00 pm Asia/Singapore Friday Lunch (on own) and Posters A link to view content for Friday Lunch (on own) and Posters can be found at recsyshub.org
Hall 406 CX
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14:00
15:20
SGT
Add to Calendar 2023-09-22 02:00 pm 2023-09-22 03:20 pm Asia/Singapore Session 15: Cross-domain Recommendation A link to view content for Session 15: Cross-domain Recommendation can be found at recsyshub.org
Paper

Session 15: Cross-domain Recommendation

Session Chair
Marko Tkalcic
Papers
Posters
Demos
DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender
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Xiaoxin Ye (School of Computer Science and Engineering, UNSW), Yun Li (School of Computer Science and Engineering, UNSW) and Lina Yao (CSIRO Data61, School of Computer Science and Engineering UNSW)

A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation
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Zitao Xu (Shenzhen University), Weike Pan (Shenzhen University) and Zhong Ming (Shenzhen University)

Exploring False Hard Negative Sample in Cross-Domain Recommendation
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Haokai Ma (Shandong University), Ruobing Xie (WeChat, Tencent), Lei Meng (School of software, Shandong University), Xin Chen (tencent), Xu Zhang (WeChat Search Application Department, Tencent Inc.), Leyu Lin (WeChat Search Application Department, Tencent) and Jie Zhou (Wechat, Tencent)

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation
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Jiajie Zhu (Macquarie University), Yan Wang (Macquarie University), Feng Zhu (Ant Group) and Zhu Sun (Macquarie University)

Hall 406 D
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14:00
15:20
SGT
Add to Calendar 2023-09-22 02:00 pm 2023-09-22 03:20 pm Asia/Singapore Session 16: Multimedia Recommendation A link to view content for Session 16: Multimedia Recommendation can be found at recsyshub.org
Paper

Session 16: Multimedia Recommendation

Session Chair
Justin Basilico
Papers
Posters
Demos
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation
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Haiyuan Zhao (Renmin University of China), Lei Zhang (Renmin University of China), Jun Xu (Renmin University of China), Guohao Cai (Huawei Noah’s ark lab), Zhenhua Dong (Huawei Noah’s ark lab) and Ji-Rong Wen (Renmin University of China)

Towards the Understanding and Modeling of Passive-Negative Feedback in Sequential Short-video Recommendation
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Yunzhu Pan (UESTC), Chen Gao (Tsinghua University), Yang Song (Kuaishou Inc.), Kun Gai (Unaffiliated), Depeng Jin (Department of Electronic Engineering, Tsinghua University) and Yong Li (Tsinghua University)

Personalised Recommendations for the BBC iPlayer: Initial approach and current challenges
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Benjamin R. Clark (British Broadcasting Corporation), Kristine Grivcova (British Broadcasting Corporation), Polina Proutskova (British Broadcasting Corporation) and Duncan M. Walker (British Broadcasting Corporation)

Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures
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Pasquale Lops (University of Bari), Elio Musacchio (Università degli Studi di Bari Aldo Moro), Cataldo Musto (Dipartimento di Informatica – University of Bari), Marco Polignano (Università degli Studi di Bari Aldo Moro), Antonio Silletti (Dipartimento di Informatica – University of Bari) and Giovanni Semeraro (Dipartimento di Informatica – University of Bari)

Hall 405
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15:20
16:05
SGT
Add to Calendar 2023-09-22 03:20 pm 2023-09-22 04:05 pm Asia/Singapore Friday PM Coffee and Posters A link to view content for Friday PM Coffee and Posters can be found at recsyshub.org
Hall 406 CX
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16:05
17:25
SGT
Add to Calendar 2023-09-22 04:05 pm 2023-09-22 05:25 pm Asia/Singapore Session 17: Interactive Recommendation 2 A link to view content for Session 17: Interactive Recommendation 2 can be found at recsyshub.org
Paper

Session 17: Interactive Recommendation 2

Session Chair
Ludovico Boratto
Papers
Posters
Demos
Contextual Multi-Armed Bandit for Email Layout Recommendation
View Page

Yan Chen (Wayfair), Emilian Vankov (Wayfair), Linas Baltrunas (Netflix), Preston Donovan (Wayfair), Akash Mehta (Wayfair) and Benjamin Schroeder (Wayfair)

Reward innovation for long term member satisfaction
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Gary Tang (Netflix), Jiangwei Pan (Netflix), Henry Wang (Netflix) and Justin Basilico (Netflix)

Incentivizing Exploration in Linear Bandits under Information Gap
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Huazheng Wang (Oregon State University), Haifeng Xu (University of Chicago), Chuanhao Li (University of Virginia), Zhiyuan Liu (University of colorado,boulder) and Hongning Wang (University of Virginia)

AdaptEx: a self-service contextual bandit platform
View Page

PLEASE NOTE: The AdaptEx recording will not be available due to privacy requirements of the authors' employer. Thank you for your understanding.

William Black (Expedia Group), Ercument Ilhan (Expedia Group), Andrea Marchini (Expedia Group) and Vilda Markeviciute (Expedia Group)

Hall 406 D
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16:05
17:25
SGT
Add to Calendar 2023-09-22 04:05 pm 2023-09-22 05:25 pm Asia/Singapore Women in RecSys Journal Paper of the Year Awards A link to view content for Women in RecSys Journal Paper of the Year Awards can be found at recsyshub.org
Paper

Women in RecSys Journal Paper of the Year Awards

Session Chair
Ashmi Banerjee
Papers
Posters
Demos
We’re in This Together: A Multi-Stakeholder Approach for News Recommenders
View Page

Annelien Smets, Jonathan Hendrickx and Pieter Ballon

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
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Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yi, Yew-Soon Ong and Jie Zhang

A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms
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Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk and Bart Goethals

Effects of Personalized Recommendations versus Aggregate Ratings on Post-Consumption Preference Responses
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Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley and Jingjing Zhang

Psychology-informed Recommender Systems
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Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig and Markus Schedl

Evaluating Recommender Systems: Survey and Framework
View Page

Eva Zangerle and Christine Bauer

Hall 406 CX
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17:25
18:00
SGT
Add to Calendar 2023-09-22 05:25 pm 2023-09-22 06:00 pm Asia/Singapore Closing Remarks and 2024 Reveal A link to view content for Closing Remarks and 2024 Reveal can be found at recsyshub.org