Agenda

Politecnico di Bari Room L

9:00

–

12:45

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 12:45 pm Europe/Rome 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

Papers

Posters

Demos

Politecnico di Bari Room A

9:00

–

18:15

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 06:15 pm Europe/Rome CONSEQUENCES: The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems A link to view content for CONSEQUENCES: The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems can be found at recsyshub.org

Workshop

CONSEQUENCES: The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room H & Room M

9:00

–

18:15

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 06:15 pm Europe/Rome Doctoral Symposium A link to view content for Doctoral Symposium can be found at recsyshub.org

Doctoral Symposium

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room D

9:00

–

18:15

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 06:15 pm Europe/Rome FAccTRec 2024: The 7th Workshop on Responsible Recommendation A link to view content for FAccTRec 2024: The 7th Workshop on Responsible Recommendation can be found at recsyshub.org

Workshop

FAccTRec 2024: The 7th Workshop on Responsible Recommendation

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room B

9:00

–

18:15

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 06:15 pm Europe/Rome MuRS2024: 2nd Music Recommender Systems Workshop A link to view content for MuRS2024: 2nd Music Recommender Systems Workshop can be found at recsyshub.org

Workshop

MuRS2024: 2nd Music Recommender Systems Workshop

Session Chair

Papers

Posters

Demos

Politecnico di Bari Aula Magna

9:00

–

18:15

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 06:15 pm Europe/Rome RecSys Challenge A link to view content for RecSys Challenge can be found at recsyshub.org

Workshop

RecSys Challenge

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room E

9:00

–

12:45

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 12:45 pm Europe/Rome SURE 2024: Workshop on Strategic and Utility-aware Recommendation A link to view content for SURE 2024: Workshop on Strategic and Utility-aware Recommendation can be found at recsyshub.org

Workshop

SURE 2024: Workshop on Strategic and Utility-aware Recommendation

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room G

9:00

–

12:45

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 12:45 pm Europe/Rome Tutorial: Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare A link to view content for Tutorial: Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare can be found at recsyshub.org

Tutorial

Tutorial: Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room I

9:00

–

12:45

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 12:45 pm Europe/Rome Tutorial: Deep Recommendation using Graphs A link to view content for Tutorial: Deep Recommendation using Graphs can be found at recsyshub.org

Tutorial

Tutorial: Deep Recommendation using Graphs

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room C

9:00

–

18:15

CEST

Add to Calendar 2024-10-14 09:00 am 2024-10-14 06:15 pm Europe/Rome VideoRecSys + LargeRecSys 2024 A link to view content for VideoRecSys + LargeRecSys 2024 can be found at recsyshub.org

Workshop

VideoRecSys + LargeRecSys 2024

Session Chair

Papers

Posters

Demos

Politecnico di Bari, Atrio Cherubini

10:30

–

11:15

CEST

Add to Calendar 2024-10-14 10:30 am 2024-10-14 11:15 am Europe/Rome Monday AM Coffee Break A link to view content for Monday AM Coffee Break can be found at recsyshub.org

Break

Monday AM Coffee Break

Session Chair

Papers

Posters

Demos

Politenico di Bari, Atrio Cherubini

12:45

–

14:30

CEST

Add to Calendar 2024-10-14 12:45 pm 2024-10-14 02:30 pm Europe/Rome Monday Lunch A link to view content for Monday Lunch can be found at recsyshub.org

Lunch

Monday Lunch

Session Chair

Due to the location of Politecnico di Bari, Monday's lunch is provided for you.

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Generously sponsored by Booking.com.

Papers

Posters

Demos

Politecnico di Bari Room L

14:30

–

18:15

CEST

Add to Calendar 2024-10-14 02:30 pm 2024-10-14 06:15 pm Europe/Rome RecSys in HR 2024: Fourth Workshop on Recommender Systems for Human Resources A link to view content for RecSys in HR 2024: Fourth Workshop on Recommender Systems for Human Resources can be found at recsyshub.org

Workshop

RecSys in HR 2024: Fourth Workshop on Recommender Systems for Human Resources

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room E

14:30

–

18:15

CEST

Add to Calendar 2024-10-14 02:30 pm 2024-10-14 06:15 pm Europe/Rome RecTemp: Temporal Reasoning in Recommendation Systems A link to view content for RecTemp: Temporal Reasoning in Recommendation Systems can be found at recsyshub.org

Workshop

RecTemp: Temporal Reasoning in Recommendation Systems

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room G

14:30

–

16:00

CEST

Add to Calendar 2024-10-14 02:30 pm 2024-10-14 04:00 pm Europe/Rome Tutorial: A Tutorial on Feature Interpretation in Recommender Systems A link to view content for Tutorial: A Tutorial on Feature Interpretation in Recommender Systems can be found at recsyshub.org

Tutorial

Tutorial: A Tutorial on Feature Interpretation in Recommender Systems

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room I

14:30

–

18:15

CEST

Add to Calendar 2024-10-14 02:30 pm 2024-10-14 06:15 pm Europe/Rome Tutorial: Economics of Recommender Systems A link to view content for Tutorial: Economics of Recommender Systems can be found at recsyshub.org

Tutorial

Tutorial: Economics of Recommender Systems

Session Chair

Papers

Posters

Demos

Politecnico di Bari, Atrio Cherubini

16:00

–

16:45

CEST

Add to Calendar 2024-10-14 04:00 pm 2024-10-14 04:45 pm Europe/Rome Monday PM Coffee Break A link to view content for Monday PM Coffee Break can be found at recsyshub.org

Break

Monday PM Coffee Break

Session Chair

Papers

Posters

Demos

Politecnico di Bari

19:00

–

20:30

CEST

Add to Calendar 2024-10-14 07:00 pm 2024-10-14 08:30 pm Europe/Rome Welcome Reception A link to view content for Welcome Reception can be found at recsyshub.org

Meetup

Welcome Reception

Session Chair

Papers

Posters

Demos

Click here for a complete list of Tuesday posters.

Chamber of Commerce

8:00

–

17:30

CEST

Add to Calendar 2024-10-15 08:00 am 2024-10-15 05:30 pm Europe/Rome Tuesday Posters A link to view content for Tuesday Posters can be found at recsyshub.org

Poster

Tuesday Posters

Session Chair

Tuesday poster presentations will take place at the Chamber of Commerce during coffee and lunch breaks. Posters will be on display through the end of the day.

‍

‍

Papers

Demos

Chamber of Commerce

8:00

–

17:30

CEST

Add to Calendar 2024-10-15 08:00 am 2024-10-15 05:30 pm Europe/Rome Tuesday Registration and Badge Pick-Up A link to view content for Tuesday Registration and Badge Pick-Up can be found at recsyshub.org

Tuesday Registration and Badge Pick-Up

Session Chair

Tuesday through Thursday, badge pick up is located at the Chamber of Commerce (Camera di Commercio) approximately 1 block north of Teatro Petruzzelli where paper presentations take place.

Papers

Demos

Teatro Petruzzelli

9:00

–

9:30

CEST

Add to Calendar 2024-10-15 09:00 am 2024-10-14 09:30 am Europe/Rome RecSys Welcome and Opening A link to view content for RecSys Welcome and Opening can be found at recsyshub.org

Keynote

RecSys Welcome and Opening

Session Chair

Papers

Demos

RecSys 2024 Opening Session

Tommaso Di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert

Teatro Petruzzelli

9:30

–

10:15

CEST

Add to Calendar 2024-10-15 09:30 am 2024-10-15 10:15 am Europe/Rome Keynote: Mark Riedl A link to view content for Keynote: Mark Riedl can be found at recsyshub.org

Keynote

Keynote: Mark Riedl

Session Chair

Toward Human-Centered Explainable AI

Papers

Demos

Keynote: Toward Human-Centered Explainable AI with Mark Riedl

Mark Riedl

Teatro Petruzzelli

10:15

–

11:00

CEST

Add to Calendar 2024-10-15 10:15 am 2024-10-15 11:00 am Europe/Rome Session 1: Large Language Models 1 A link to view content for Session 1: Large Language Models 1 can be found at recsyshub.org

Paper

Session 1: Large Language Models 1

Session Chair

Marco Polignano

Papers

Demos

SeCor: Aligning Semantic and Collaborative representations by Large Language Models for Next-Point-of-Interest Recommendations

Shirui Wang (Tongji University), Bohan Xie (Tongji university), Ling Ding (Tongji University), Xiaoying Gao (Tongji University), Jianting Chen (Tongji University) and Yang Xiang (Tongji University)

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Yunjia Xi (Shanghai Jiao Tong University), Weiwen Liu (Huawei Noah's Ark Lab), Jianghao Lin (Shanghai Jiao Tong University), Xiaoling Cai (Consumer Business Group, Huawei), Hong Zhu (Consumer Business Group, Huawei), Jieming Zhu (Huawei Noah's Ark Lab), Bo Chen (Huawei Noah's Ark Lab), Ruiming Tang (Huawei Noah's Ark Lab), Weinan Zhang (Shanghai Jiao Tong University) and Yong Yu (Shanghai Jiao Tong University)

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding

Zhizhong Wan (Meituan), Bin Yin (Meituan), Junjie Xie (Meituan), Fei Jiang (Meituan), Xiang Li (Meituan) and Wei Lin (Meituan)

Playlist Search Reinvented: LLMs Behind the Curtain

Geetha Aluri (Amazon), Siddharth Sharma (Amazon), Tarun Sharma (Amazon) and Joaquin Delgado (Amazon)

A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce

Guangtao Nie (JD.com), Rong Zhi (JD.com), Xiaofan Yan (JD.com), Yufan du (JD.com), Xiangyang Zhang (JD.com), Jianwei Chen (JD.com), Mi Zhou (JD.com), Hongshen Chen (JD.com), Tianhao Li (JD.com), Sulong Xu (JD.com), Jinghe Hu (JD.com) and Ziguang Cheng (jd.com)

Large Language Models as Evaluators for Recommendation Explanations

Xiaoyu Zhang (Tsinghua University), Yishan Li (Tsinghua University), Jiayin Wang (Tsinghua Univeristy), Bowen Sun (Tsinghua Univeristy), Weizhi Ma (Tsinghua University), Peijie Sun (Hefei University of Technology, School of Computer and Information) and Min Zhang (Tsinghua University)

Chamber of Commerce, Sala Alessandro Ambrosi

11:00

–

12:00

CEST

Add to Calendar 2024-10-15 11:00 am 2024-10-15 12:00 pm Europe/Rome Google Sponsor Meet Up A link to view content for Google Sponsor Meet Up can be found at recsyshub.org

Meetup

Google Sponsor Meet Up

Session Chair

Papers

Demos

Chamber of Commerce, Sala Azzurra

11:00

–

11:30

CEST

Add to Calendar 2024-10-15 11:00 am 2024-10-15 11:30 am Europe/Rome Huawei Sponsor Meet Up A link to view content for Huawei Sponsor Meet Up can be found at recsyshub.org

Meetup

Huawei Sponsor Meet Up

Session Chair

Papers

Demos

Camera di Commerico/Riva Club/Circolo Unione

11:00

–

12:00

CEST

Add to Calendar 2024-10-15 11:00 am 2024-10-15 12:00 pm Europe/Rome Tuesday AM Break A link to view content for Tuesday AM Break can be found at recsyshub.org

Break

Tuesday AM Break

Session Chair

Sponsored by Amazon Science

Papers

Demos

Teatro Petruzzelli

12:00

–

13:15

CEST

Add to Calendar 2024-10-15 12:00 pm 2024-10-15 01:15 pm Europe/Rome Session 2: Bias and Fairness 1 A link to view content for Session 2: Bias and Fairness 1 can be found at recsyshub.org

Paper

Session 2: Bias and Fairness 1

Session Chair

Vito Walter Anelli

Papers

Demos

FairCRS: Towards User-oriented Fairness in Conversational Recommendation Systems

Qin Liu (Jinan University), Xuan Feng (Jinan University), Tianlong Gu (Jinan University) and Xiaoli Liu (Jinan University)

AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders

Elizabeth Gómez (Universitat de Barcelona), David Contreras (Universidad Arturo Prat), Ludovico Boratto (University of Cagliari) and Maria Salamo (Departament of Mathematics and Computer Science, Universitat de Barcelona)

Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data

Kristina Matrosova (Deezer Research, CNRS, Geographie-Cités), Lilian Marey (Deezer Research, LTCI, Télécom Paris), Guillaume Salha-Galvan (Deezer Research), Thomas Louail (CNRS, Geographie-Cités), Olivier Bodini (LIPN, Université Sorbonne Paris Nord) and Manuel Moussallam (Deezer Research)

Fair Augmentation for Graph Collaborative Filtering

Ludovico Boratto (University of Cagliari), Francesco Fabbri (Spotify), Gianni Fenu (University of Cagliari), Mirko Marras (University of Cagliari) and Giacomo Medda (University of Cagliari)

Enhancing Recommendation Quality of the SASRec Model by Mitigating Popularity Bias

Venkata Harshit Koneru (ZDF), Xenija Neufeld (Accso – Accelerated Solutions GmbH), Sebastian Loth (ZDF) and Andreas Grün (ZDF)

Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders

Robin Ungruh (Delft University of Technology), Karlijn Dinnissen (Utrecht University), Anja Volk (Utrecht University), Maria Soledad Pera (Delft University of Technology) and Hanna Hauptmann (Utrecht University)

Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias

Lulu Dong (East China Normal University), Guoxiu He (East China Normal University) and Aixin Sun (Nanyang Technological University)

13:15

–

14:30

CEST

Add to Calendar 2024-10-15 01:15 pm 2024-10-15 02:30 pm Europe/Rome Tuesday Lunch Break (on own) A link to view content for Tuesday Lunch Break (on own) can be found at recsyshub.org

Lunch

Tuesday Lunch Break (on own)

Session Chair

Papers

Demos

Teatro Petruzzelli

14:30

–

15:15

CEST

Add to Calendar 2024-10-15 02:30 pm 2024-10-15 03:15 pm Europe/Rome Session 3: Bias and Fairness 2 A link to view content for Session 3: Bias and Fairness 2 can be found at recsyshub.org

Paper

Session 3: Bias and Fairness 2

Session Chair

Elisabeth Lex

Papers

Demos

Biased User History Synthesis for Personalized Long-Tail Item Recommendation

Keshav Balasubramanian (University of Southern California), Abdulla Alshabanah (University of Southern California), Elan Markowitz (Information Sciences Institute at the University of Southern California), Greg Ver Steeg (University of California Riverside) and Murali Annavaram (University of Southern California)

The Fault in Our Recommendations: On the Perils of Optimizing the Measurable

Omar Besbes (Columbia University), Yash Kanoria (Columbia University) and Akshit Kumar (Columbia University)

Fair Reciprocal Recommendation in Matching Markets

Yoji Tomita (CyberAgent, Inc.) and Tomohiko Yokoyama (The University of Tokyo)

Teatro Petruzzelli

15:15

–

16:25

CEST

Add to Calendar 2024-10-15 03:15 pm 2024-10-15 04:25 pm Europe/Rome Session 4: Collaborative Filtering A link to view content for Session 4: Collaborative Filtering can be found at recsyshub.org

Paper

Session 4: Collaborative Filtering

Session Chair

Rodrygo Santos

Papers

Demos

The Role of Unknown Interactions in Implicit Matrix Factorization — A Probabilistic View

Joey De Pauw (University of Antwerp) and Bart Goethals (University of Antwerp)

Adaptive Fusion of Multi-View for Graph Contrastive Recommendation

Mengduo Yang (zhejiang university), Yi Yuan (zhejiang university), Jie Zhou (zhejiang university), Meng Xi (zhejiang university), Xiaohua Pan (zhejiang university), Ying Li (zhejiang university), Yangyang Wu (zhejiang university), Jinshan Zhang (zhejiang university) and Jianwei Yin (zhejiang university)

Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation

Alex Shtoff (Yahoo Research), Michael Viderman (Yahoo Research), Naama Haramaty-Krasne (No affiliation), Oren Somekh (Yahoo Research), Ariel Raviv (No affiliation) and Tularam Ban (Yahoo Research)

Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data

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

One-class Matrix Factorization: Point-Wise Regression-Based or Pair-Wise Ranking-Based?

Sheng-Wei Chen (National Taiwan University) and Chih-Jen Lin (National TaiwanUniv)

Revisiting BPR: A Replicability Study of a Common Recommender System Baseline

Aleksandr Milogradskii (National Research University Higher School of Economics, Tinkoff), Oleg Lashinin (Moscow Institute of Physics and Technology, Tinkoff), Alexander P (Independent Researcher), Marina Ananyeva (National Research University Higher School of Economics, Tinkoff) and Sergey Kolesnikov (Tinkoff.AI)

Chamber of Commerce, Sala Azzurra

16:25

–

17:20

CEST

Add to Calendar 2024-10-15 04:25 pm 2024-10-15 05:20 pm Europe/Rome Huawei Sponsor Meet Up A link to view content for Huawei Sponsor Meet Up can be found at recsyshub.org

Meetup

Huawei Sponsor Meet Up

Session Chair

Papers

Demos

Chamber of Commerce, Sala Alessandro Ambrosi

16:25

–

17:20

CEST

Add to Calendar 2024-10-15 04:25 pm 2024-10-15 05:20 pm Europe/Rome IBM Sponsor Meet Up A link to view content for IBM Sponsor Meet Up can be found at recsyshub.org

Meetup

IBM Sponsor Meet Up

Session Chair

Papers

Demos

Camera di Commerico/Riva Club/Circolo Unione

16:25

–

17:20

CEST

Add to Calendar 2024-10-15 04:25 pm 2024-10-15 05:20 pm Europe/Rome Tuesday PM Break A link to view content for Tuesday PM Break can be found at recsyshub.org

Break

Tuesday PM Break

Session Chair

Sponsored by Amazon Science

‍

Papers

Demos

Teatro Petruzzelli

17:20

–

18:45

CEST

Add to Calendar 2024-10-15 05:20 pm 2024-10-15 06:45 pm Europe/Rome Session 5: Cross-domain and Cross-modal Learning A link to view content for Session 5: Cross-domain and Cross-modal Learning can be found at recsyshub.org

Paper

Session 5: Cross-domain and Cross-modal Learning

Session Chair

Robin Burke

Papers

Demos

Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training

Jingyu Chen (Sichuan University), Lilin Zhang (Sichuan University) and Ning Yang (Sichuan University)

MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction

Zhiming Yang (Northwestern Polytechnical University), Haining Gao (Alibaba Group), Dehong Gao (Northwestern Polytechnical University), Luwei Yang (Alibaba Group), Libin Yang (Northwestern Polytechnical University), Xiaoyan Cai (Northwestern Polytechnical University), Wei Ning (Alibaba Group) and Guannan Zhang (Alibaba Group)

Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations

Alessandro Petruzzelli (University of Bari Aldo Moro), Cataldo Musto (University of Bari Aldo Moro), Lucrezia Laraspata (University of Bari Aldo Moro), Ivan Rinaldi (University of Bari Aldo Moro), Marco de Gemmis (University of Bari Aldo Moro), Pasquale Lops (University of Bari Aldo Moro) and Giovanni Semeraro (University of Bari Aldo Moro)

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization

Abdulaziz Samra (Skoltech), Evgeny Frolov (AIRI Labs, Skoltech), Alexey Vasilev (Sber, AI Lab), Alexander Grigorevskiy (Comparables.ai) and Anton Vakhrushev (Sber, AI Lab)

Discerning Canonical User Representation for Cross-Domain Recommendation

Siqian Zhao (University at Albany – SUNY) and Sherry Sahebi (University at Albany – SUNY)

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)

Moumita Bhattacharya (Netflix), Vito Ostuni (Netflix) and Sudarshan Lamkhede (Netflix)

Click here for a complete list of Wednesday posters.

Chamber of Commerce

8:00

–

17:30

CEST

Add to Calendar 2024-10-16 08:00 am 2024-10-16 05:30 pm Europe/Rome Wednesday Posters A link to view content for Wednesday Posters can be found at recsyshub.org

Poster

Wednesday Posters

Session Chair

Wednesday poster presentations take place at the Chamber of Commerce during coffee and lunch breaks. Posters will be on display through the end of the day.

‍

‍

Papers

Demos

Chamber of Commerce

8:00

–

17:30

CEST

Add to Calendar 2024-10-16 08:00 am 2024-10-16 05:30 pm Europe/Rome Wednesday Registration and Badge Pick-Up A link to view content for Wednesday Registration and Badge Pick-Up can be found at recsyshub.org

Wednesday Registration and Badge Pick-Up

Session Chair

Tuesday through Thursday, badge pick up is located at the Chamber of Commerce (Camera di Commercio) approximately 1 block north of Teatro Petruzzelli where paper presentations take place.

Papers

Demos

Teatro Petruzzelli

8:30

–

9:30

CEST

Add to Calendar 2024-10-16 08:30 am 2024-10-16 09:30 am Europe/Rome Session 6: Multi-task Learning A link to view content for Session 6: Multi-task Learning can be found at recsyshub.org

Paper

Session 6: Multi-task Learning

Session Chair

Fedelucio Narducci

Papers

Demos

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation

Xing Tang (Tencent), Yang Qiao (FIT, Tencent), Fuyuan Lyu (McGill University), Dugang Liu (Shenzhen University) and Xiuqiang He (FiT,Tencent)

Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?

Gustavo Penha (Spotify), Ali Vardasbi (Spotify), Enrico Palumbo (Spotify), Marco De Nadai (Spotify) and Hugues Bouchard (Spotify)

Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction

Jiahui Huang (University of Science and Technology of China), Lan Zhang (University of Science and Technology of China), Junhao Wang (University of Science and Technology of China), Shanyang Jiang (University of Science and Technology of China), Dongbo Huang (Tencent), Cheng Ding (Tencent) and Lan Xu (Tencent)

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space

Yu Liu (School of Artificial Intelligence, Nanjing University), Qinglin Jia (Huawei Noah’s Ark Lab), Shuting Shi (Huawei TECHNOLOGIES Co., Ltd), Chuhan Wu (Huawei Noah’s Ark Lab), Zhaocheng Du (Huawei Noah’s Ark Lab), Zheng Xie (Nanjing University), Ruiming Tang (Huawei Noah’s Ark Lab), Muyu Zhang (Huawei TECHNOLOGIES Co., Ltd) and Ming Li (School of Artificial Intelligence, Nanjing University)

Teatro Petruzzelli

9:30

–

10:25

CEST

Add to Calendar 2024-10-16 09:30 am 2024-10-16 10:25 am Europe/Rome Session 7: Cold Start A link to view content for Session 7: Cold Start can be found at recsyshub.org

Paper

Session 7: Cold Start

Session Chair

Linas Baltrunas

Papers

Demos

Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction

Wenhao Li (Huazhong University of Science and Technology), Jie Zhou (Beihang University), Chuan Luo (Beihang University), Chao Tang (Meituan), Kun Zhang (Meituan) and Shixiong Zhao (The University of Hong Kong)

A multimodal single-branch embedding network for recommendation in cold-start and missing modality scenarios

Christian Ganhör (Johannes Kepler University Linz), Marta Moscati (Johannes Kepler University Linz), Shah Nawaz (Johannes Kepler University Linz), Anna Hausberger (Johannes Kepler University Linz) and Markus Schedl (Johannes Kepler University Linz)

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation

Gaode Chen (Kuaishou Technology), Ruina Sun (Kuaishou Technology), Yuezihan Jiang (Kuaishou Technology), Jiangxia Cao (Kuaishou Technology), Qi Zhang (Kuaishou Technology), Jingjian Lin (Kuaishou Technology), Han Li (Kuaishou Technology), Kun Gai (Kuaishou Technology) and Xinghua Zhang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China)

MARec: Metadata Alignment for cold-start Recommendation

ulien Monteil (Amazon Machine Learning), Volodymyr Vaskovych (Amazon Machine Learning), Wentao Lu (Amazon Machine Learning), Anirban Majumder (Amazon Machine Learning) and Anton van den Hengel (University of Adelaide)

Prompt Tuning for Item Cold-start Recommendation

Yuezihan Jiang (Kuaishou Technology), Gaode Chen (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China), Wenhan Zhang (Peking University), Jingchi Wang (Peking University), Yinjie Jiang (Kuaishou Technology), Qi Zhang (Kuaishou Technology), Jingjian Lin (Kuaishou Technology), Peng Jiang (Kuaishou Technology) and Kaigui Bian (Peking University)

Teatro Petruzzelli

10:25

–

11:05

CEST

Add to Calendar 2024-10-16 10:25 am 2024-10-16 11:05 am Europe/Rome Session 8: Sequential Recommendation 1 A link to view content for Session 8: Sequential Recommendation 1 can be found at recsyshub.org

Paper

Session 8: Sequential Recommendation 1

Session Chair

Domonkos Tikk

Papers

Demos

CALRec: Contrastive Alignment of Generative LLMs For Sequential Recommendation

Yaoyiran Li (University of Cambridge), Xiang Zhai (Google), Moustafa Alzantot (Google), Keyi Yu (Google), Ivan Vulić (University of Cambridge), Anna Korhonen (University of Cambridge) and Mohamed Hammad (Google)

A Pre-trained Zero-shot Sequential Recommendation Framework via Popularity Dynamics

Junting Wang (University of Illinois, Urbana-Champaign), Praneet Rathi (University of Illinois, Urbana-Champaign) and Hari Sundaram (University of Illinois, Urbana-Champaign)

Scaling Law of Large Sequential Recommendation Models

Gaowei Zhang (Renmin University of China), Yupeng Hou (University of California San Diego), Hongyu Lu (WeChat, Tencent), Yu Chen (WeChat, Tencent), Wayne Xin Zhao (Renmin University of China) and Ji-Rong Wen (Renmin University of China)

ReChorus2.0: A Modular and Task-Flexible Recommendation Library

Jiayu Li (DCST, Tsinghua University; Quan Cheng Laboratory), Hanyu Li (DCST, Tsinghua University; Quan Cheng Laboratory), Zhiyu He (DCST, Tsinghua University), Weizhi Ma (AIR, Tsinghua University), Peijie Sun (DCST, Tsinghua University), Min Zhang (DCST, Tsinghua University; Quan Cheng Laboratory) and Shaoping Ma (DCST, Tsinghua University)

Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation

Weixin Li (Shenzhen University), Xiaolin Lin (Shenzhen University), Weike Pan (Shenzhen University) and Zhong Ming (Shenzhen University)

Chamber of Commerce, Sala Alessandro Ambrosi

11:05

–

12:00

CEST

Add to Calendar 2024-10-16 11:05 am 2024-10-16 12:00 pm Europe/Rome Amazon Science Sponsor Meet Up A link to view content for Amazon Science Sponsor Meet Up can be found at recsyshub.org

Meetup

Amazon Science Sponsor Meet Up

Session Chair

Papers

Demos

Chamber of Commerce, Sala Azzurra

11:05

–

12:00

CEST

Add to Calendar 2024-10-16 11:05 am 2024-10-16 12:00 pm Europe/Rome Netflix Sponsor Meet Up A link to view content for Netflix Sponsor Meet Up can be found at recsyshub.org

Meetup

Netflix Sponsor Meet Up

Session Chair

Papers

Demos

Camera di Commerico/Riva Club/Circolo Unione

11:05

–

12:00

CEST

Add to Calendar 2024-10-16 11:05 am 2024-10-16 12:00 pm Europe/Rome Wednesday AM Break A link to view content for Wednesday AM Break can be found at recsyshub.org

Break

Wednesday AM Break

Session Chair

Sponsored by Netflix

‍

Papers

Demos

Teatro Petruzzelli

12:00

–

13:10

CEST

Add to Calendar 2024-10-16 12:00 pm 2024-10-16 01:10 pm Europe/Rome Session 9: Sequential Recommendation 2 A link to view content for Session 9: Sequential Recommendation 2 can be found at recsyshub.org

Paper

Session 9: Sequential Recommendation 2

Session Chair

Justin Basilico

Papers

Demos

Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs

Gleb Mezentsev (Skoltech), Danil Gusak (Skoltech, HSE), Ivan Oseledets (AIRI, Skoltech) and Evgeny Frolov (AIRI, HSE, Skoltech)

Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation

Viet-Anh Tran (Deezer Research), Guillaume Salha-Galvan (Deezer Research), Bruno Sguerra (Deezer Research) and Romain Hennequin (Deezer Research)

Repeated Padding for Sequential Recommendation

Yizhou Dang (Northeastern University), Yuting Liu (Northeastern University), Enneng Yang (Northeastern University), Guibing Guo (Northeastern University), Linying Jiang (Northeastern University), Xingwei Wang (Northeastern University) and Jianzhe Zhao (Northeastern University)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models

Yu Cui (Zhejiang University), Feng Liu (OPPO Co Ltd), Pengbo Wang (University of Electronic Science and Technology of China), Bohao Wang (Zhejiang University), Heng Tang (Zhejiang University), Yi Wan (OPPO Co Ltd), Jun Wang (OPPO Co Ltd) and Jiawei Chen (Zhejiang University)

Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models

Yuening Li (Google), Diego Uribe (Google), Chuan He (Google), Jiaxi Tang (Google DeepMind), Qingyun Liu (Google DeepMind), Junjie Shan (Google), Ben Most (Google), Kaushik Kalyan (Google), Shuchao Bi (Google), Xinyang Yi (Google DeepMind), Lichan Hong (Google DeepMind), Ed Chi (Google DeepMind) and Liang Liu (Google).

13:10

–

14:30

CEST

Add to Calendar 2024-10-16 01:10 pm 2024-10-16 02:30 pm Europe/Rome Wednesday Lunch Break (On Own) A link to view content for Wednesday Lunch Break (On Own) can be found at recsyshub.org

Lunch

Wednesday Lunch Break (On Own)

Session Chair

Papers

Demos

Teatro Petruzzelli

14:30

–

15:15

CEST

Add to Calendar 2024-10-16 02:30 pm 2024-10-16 03:15 pm Europe/Rome Keynote: Michael I. Jordan A link to view content for Keynote: Michael I. Jordan can be found at recsyshub.org

Keynote

Keynote: Michael I. Jordan

Session Chair

A Collectivist Vision of AI: Collaborative Learning, Statistical Incentives, and Social Welfare

Papers

Demos

Keynote: A Collectivist Vision of AI: Collaborative Learning, Statistical Incentives, and Social Welfare with Michael I. Jordan

Teatro Petruzzelli

15:15

–

16:20

CEST

Add to Calendar 2024-10-16 03:15 pm 2024-10-16 04:20 pm Europe/Rome Session 10: Graph Learning A link to view content for Session 10: Graph Learning can be found at recsyshub.org

Paper

Session 10: Graph Learning

Session Chair

Antonio Ferrara

Papers

Demos

A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation

Zixuan Yi (University of Glasgow) and Iadh Ounis (University of Glasgow)

Information-Controllable Graph Contrastive Learning for Recommendation

Zirui Guo (Beijing University of Posts and Telecommunications), Yanhua Yu (Beijing University of Posts and Telecommunications), Yuling Wang (Beijing University of Posts and Telecommunications), Kangkang Lu (Beijing University Of Posts and Telecommunications), Zixuan Yang (Beijing University Of Posts and Telecommunications), Liang Pang (Institute of Computing Technology, Chinese Academy of Sciences) and Tat-Seng Chua (National University of Singapore)

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations

Yuezihan Jiang (Kuaishou Technology), Changyu Li (Kuaishou Technology), Gaode Chen (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China), Peiyi Li (Kuaishou Technology), Qi Zhang (Kuaishou Technology), Jingjian Lin (Kuaishou Technology), Peng Jiang (Kuaishou Inc.), Fei Sun (Chinese Academy of Sciences, Beijing, China) and Wentao Zhang (Peking University)

A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph

Daniele Malitesta (Université Paris-Saclay, CentraleSupélec, Inria), Claudio Pomo (Politecnico di Bari), Vito Walter Anelli (Politecnico di Bari), Alberto Carlo Maria Mancino (Politecnico di Bari), Tommaso Di Noia (Politecnico di Bari) and Eugenio Di Sciascio (Politecnico di Bari)

Country-diverted experiments for mitigation of network effects

Lina Lin (Google), Changping Meng (Google), Jennifer Brennan (Google Research), Jean Pouget-Abadie (Google Research), Ningren Han (Google), Shuchao Bi (Google) and Yajun Peng (Google)

Chamber of Commerce, Sala Alessandro Ambrosi

16:20

–

16:50

CEST

Add to Calendar 2024-10-16 04:20 pm 2024-10-16 04:50 pm Europe/Rome Google Sponsor Meet Up A link to view content for Google Sponsor Meet Up can be found at recsyshub.org

Meetup

Google Sponsor Meet Up

Session Chair

Papers

Demos

Camera di Commerico/Riva Club/Circolo Unione

16:20

–

17:20

CEST

Add to Calendar 2024-10-16 04:20 pm 2024-10-16 05:20 pm Europe/Rome Wednesday PM Break A link to view content for Wednesday PM Break can be found at recsyshub.org

Break

Wednesday PM Break

Session Chair

Sponsored by Netflix

‍

Papers

Demos

Teatro Petruzzelli

17:20

–

18:45

CEST

Add to Calendar 2024-10-16 05:20 pm 2024-10-16 06:45 pm Europe/Rome Session 11: Optimisation and Evaluation 1 A link to view content for Session 11: Optimisation and Evaluation 1 can be found at recsyshub.org

Paper

Session 11: Optimisation and Evaluation 1

Session Chair

Paulo Cremonesi

Papers

Demos

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling

Zexu Sun (Renmin University of China), Hao Yang (Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China), Dugang Liu (Shenzhen University), Yunpeng Weng (Tencent), Xing Tang (Tencent) and Xiuqiang He (FiT,Tencent)

Reproducibility and Analysis of Scientific Dataset Recommendation Methods

Ornella Irrera (Department of Information Engineering, University of Padua), Matteo Lissandrini (Department of Foreign Languages and Literatures at the University of Verona, Italy), Daniele Dell’Aglio (Department of Computer Science, Aalborg University, Denmark) and Gianmaria Silvello (Department of Information Engineering, University of Padua, Italy)

From Clicks to Carbon: The Environmental Toll of Recommender Systems

Tobias Vente (University of Siegen), Lukas Wegmeth (University of Siegen), Alan Said (University of Gothenburg) and Joeran Beel (University of Siegen)

Why the Shooting in the Dark Method Dominates Recommender Systems Practice

David Rohde (Criteo)

Powerful A/B-Testing Metrics and Where to Find Them

Olivier Jeunen (ShareChat), Shubham Baweja (ShareChat), Neeti Pokharna (ShareChat) and Aleksei Ustimenko (ShareChat)

Bootstrapping Conditional Retrieval for User-to-Item Recommendations

Hongtao Lin (Pinterest), Haoyu Chen (Pinterest), Jaewon Yang (Pinterest) and Jiajing Xu (Pin)

Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders

Yin Zhang (Google DeepMind), Ruoxi Wang (Google DeepMind), Xiang Li (Google, Inc), Tiansheng Yao (Google, Inc), Andrew Evdokimov (Google, Inc), Jonathan Valverde (Google DeepMind), Yuan Gao (Google, Inc), Jerry Zhang (Google, Inc), Evan Ettinger (Google, Inc), Ed H. Chi (Google DeepMind) and Derek Zhiyuan Cheng (Google DeepMind)

Optimizing for Participation in Recommender System

Yuan Shao (Google), Bibang Liu (Google), Sourabh Bansod (Google), Arnab Bhadury (Google), Mingyan Gao (Google) and Yaping Zhang (Google)

20:00

–

22:00

CEST

Add to Calendar 2024-10-16 08:00 pm 2024-10-16 10:00 pm Europe/Rome Social Event A link to view content for Social Event can be found at recsyshub.org

Meetup

Social Event

Session Chair

Papers

Demos

Click here for a complete list of Thursday posters.

Chamber of Commerce

8:00

–

17:10

CEST

Add to Calendar 2024-10-17 08:00 am 2024-10-17 05:10 pm Europe/Rome Thursday Posters A link to view content for Thursday Posters can be found at recsyshub.org

Poster

Thursday Posters

Session Chair

Thursday poster presentations take place at the Chamber of Commerce during coffee and lunch breaks. Posters will be on display through the end of the day.

‍

Papers

Demos

Chamber of Commerce

8:00

–

15:30

CEST

Add to Calendar 2024-10-17 08:00 am 2024-10-17 03:30 pm Europe/Rome Thursday Registration and Badge Pick-Up A link to view content for Thursday Registration and Badge Pick-Up can be found at recsyshub.org

Thursday Registration and Badge Pick-Up

Session Chair

Tuesday through Thursday, badge pick up is located at the Chamber of Commerce (Camera di Commercio) approximately 1 block north of Teatro Petruzzelli where paper presentations take place.

Papers

Demos

8:00

–

9:00

CEST

Add to Calendar 2024-10-17 08:00 am 2024-10-17 09:00 am Europe/Rome Women in RecSys Breakfast A link to view content for Women in RecSys Breakfast can be found at recsyshub.org

Break

Women in RecSys Breakfast

Session Chair

Papers

Demos

Teatro Petruzzelli

9:00

–

9:45

CEST

Add to Calendar 2024-10-17 09:00 am 2024-10-17 09:45 am Europe/Rome Keynote: Mounia Lalmas A link to view content for Keynote: Mounia Lalmas can be found at recsyshub.org

Keynote

Keynote: Mounia Lalmas

Session Chair

The Power of AI in Recommender and Search Systems: An Industry Perspective Through the Lens of Spotify

Papers

Demos

Keynote: The Power of AI in Recommender and Search Systems: An Industry Perspective Through the Lens of Spotify with Mounia Lalmas

Mounia Lalmas

Teatro Petruzzelli

9:45

–

10:35

CEST

Add to Calendar 2024-10-17 09:45 am 2024-10-17 10:35 am Europe/Rome Session 12: Optimisation and Evaluation 2 A link to view content for Session 12: Optimisation and Evaluation 2 can be found at recsyshub.org

Paper

Session 12: Optimisation and Evaluation 2

Session Chair

Ashmi Banerjee

Papers

Demos

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems

Sheng Zhang (City University of Hong Kong), Maolin Wang (City University of Hong Kong), Xiangyu Zhao (City University of Hong Kong), Ruocheng Guo (ByteDance Research), Yao Zhao (Ant Group), Chenyi Zhuang (Ant Group), Jinjie Gu (Ant Group), Zijian Zhang (Jilin University) and Hongzhi Yin (The University of Queensland)

ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning

Xiao Yu (Columbia University), Jinzhong Zhang (Intellipro) and Zhou Yu (Columbia University)

Unified Denoising Training for Recommendation

Haoyan Chua (Nanyang Technological University), Yingpeng Du (Peking University), Zhu Sun (Agency for Science, Technology and Research (A*STAR)), Ziyan Wang (Nanyang Technological University), Jie Zhang (Nanyang Technological University) and Yew-Soon Ong (Nanyang Technological University)

Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark

Shijie Liu (NVIDIA), Nan Zheng (NVIDIA), Hui Kang (NVIDIA), Xavier Simmons (NVIDIA), Junjie Zhang (NVIDIA), Matthias Langer (NVIDIA), Wenjing Zhu (NVIDIA), Minseok Lee (NVIDIA) and Zehuan Wang (NVIDIA)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising

Yang Yang (Huawei Noah’s Ark Lab), Bo Chen (Huawei Noah's Ark Lab), Chenxu Zhu (Huawei Noah’s Ark Lab), Menghui Zhu (Huawei Noah’s Ark Lab), Xinyi Dai (Huawei Noah Ark's Lab), Huifeng Guo (Huawei Noah Ark's Lab), Muyu Zhang (Huawei Noah Ark's Lab), Zhenhua Dong (Huawei Noah Ark's Lab) and Ruiming Tang (Huawei Noah Ark's Lab)

Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery

Jiayu Li (Tsinghua University), Aixin Sun (Nanyang Technological University), Weizhi Ma (Tsinghua University), Peijie Sun (Hefei University of Technology, School of Computer and Information) and Min Zhang (Tsinghua University)

Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data

Mahta Bakhshizadeh (German Research Center for Artificial Intelligence (DFKI)), Heiko Maus (German Research Center for Artificial Intelligence (DFKI)) and Andreas Dengel (German Research Center for Artificial Intelligence (DFKI))

Informfully - Research Platform for Reproducible User Studies

Lucien Heitz (University of Zurich), Julian A. Croci (University of Zurich), Madhav Sachdeva (University of Zurich) and Abraham Bernstein (University of Zurich)

Teatro Petruzzelli

10:35

–

10:55

CEST

Add to Calendar 2024-10-17 10:35 am 2024-10-17 10:55 am Europe/Rome Session 13: Robust RecSys 1 A link to view content for Session 13: Robust RecSys 1 can be found at recsyshub.org

Paper

Session 13: Robust RecSys 1

Session Chair

Saikishore Kalloori

Papers

Demos

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems

Shuo Su (Kuaishou Technology), Xiaoshuang Chen (Kuaishou Technology), Yao Wang (Kuaishou Technology), Yulin Wu (Kuaishou Technology), Ziqiang Zhang (Tsinghua University), Kaiqiao Zhan (Kuaishou Technology), Ben Wang (Kuaishou Technology) and Kun Gai (No affiliation)

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System

Kaike Zhang (Institute of Computing Technology, CAS), Qi Cao (Institute of Computing Technology, CAS), Yunfan Wu (Institute of Computing Technology, CAS), Fei Sun (Institute of Computing Technology, CAS), Huawei Shen (Institute of Computing Technology, CAS) and Xueqi Cheng (Institute of Computing Technology, CAS)

Chamber of Commerce, Sala Azzurra

10:55

–

12:00

CEST

Add to Calendar 2024-10-17 10:55 am 2024-10-17 12:00 pm Europe/Rome PopRox Meeting (PRIVATE) A link to view content for PopRox Meeting (PRIVATE) can be found at recsyshub.org

Meetup

PopRox Meeting (PRIVATE)

Session Chair

Papers

Demos

Camera di Commerio/Riva Club/Circolo Unione

10:55

–

12:00

CEST

Add to Calendar 2024-10-17 10:55 am 2024-10-17 12:00 pm Europe/Rome Thursday AM Break A link to view content for Thursday AM Break can be found at recsyshub.org

Break

Thursday AM Break

Session Chair

Sponsored by Huawei

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Papers

Demos

Chamber of Commerce, Sala Alessandro Ambrosi

11:00

–

12:00

CEST

Add to Calendar 2024-10-17 11:00 am 2024-10-17 12:00 pm Europe/Rome Booking.com Sponsor Meet Up A link to view content for Booking.com Sponsor Meet Up can be found at recsyshub.org

Meetup

Booking.com Sponsor Meet Up

Session Chair

Papers

Demos

Chamber of Commerce, Sala Azzurra

11:00

–

11:30

CEST

Add to Calendar 2024-10-17 11:00 am 2024-10-17 11:30 am Europe/Rome OVS Sponsor Meet Up A link to view content for OVS Sponsor Meet Up can be found at recsyshub.org

Meetup

OVS Sponsor Meet Up

Session Chair

Papers

Demos

Teatro Petruzzelli

12:00

–

12:30

CEST

Add to Calendar 2024-10-17 12:00 pm 2024-10-17 12:30 pm Europe/Rome Session 14: Robust RecSys 2 A link to view content for Session 14: Robust RecSys 2 can be found at recsyshub.org

Paper

Session 14: Robust RecSys 2

Session Chair

Abhishek Srivastava

Papers

Demos

FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations

Yuchen Ding (University of Science and Technology of China), Siqing Zhang (University of Science and Technology of China), Boyu Fan (University of Helsinki), Wei Sun (University of Science and Technology of China), Yong Liao (University of Science and Technology of China) and Pengyuan Zhou (Aarhus University)

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems

Yunfan Wu (Institute of Computing Technology, Chinese Academy of Sciences), Qi Cao (Institute of Computing Technology, Chinese Academy of Sciences), Shuchang Tao (Institute of Computing Technology, Chinese Academy of Sciences), Kaike Zhang (Institute of Computing Technology, Chinese Academy of Sciences), Fei Sun (Institute of Computing Technology, Chinese Academy of Sciences) and Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences)

Teatro Petruzzelli

12:30

–

13:15

CEST

Add to Calendar 2024-10-17 12:30 pm 2024-10-17 01:15 pm Europe/Rome Session 15: Off-policy Learning A link to view content for Session 15: Off-policy Learning can be found at recsyshub.org

Paper

Session 15: Off-policy Learning

Session Chair

Alan Said

Papers

Demos

Multi-Objective Recommendation via Multivariate Policy Learning

Olivier Jeunen (ShareChat), Jatin Mandav (ShareChat), Ivan Potapov (ShareChat), Nakul Agarwal (ShareChat), Sourabh Vaid (ShareChat), Wenzhe Shi (ShareChat) and Aleksei Ustimenko (ShareChat)

Optimal Baseline Corrections for Off-Policy Contextual Bandits

Shashank Gupta (University of Amsterdam, The Netherlands), Olivier Jeunen (ShareChat), Harrie Oosterhuis (Radboud University) and Maarten de Rijke (University of Amsterdam)

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits

Tatsuhiro Shimizu (Independent Researcher), Koichi Tanaka (Keio Univercity), Ren Kishimoto (Tokyo Institute of Technology), Haruka Kiyohara (Cornell University), Masahiro Nomura (CyberAgent, Inc.) and Yuta Saito (Cornell University)

13:15

–

14:30

CEST

Add to Calendar 2024-10-17 01:15 pm 2024-10-17 02:30 pm Europe/Rome Thursday Lunch Break (On Own) A link to view content for Thursday Lunch Break (On Own) can be found at recsyshub.org

Lunch

Thursday Lunch Break (On Own)

Session Chair

Papers

Demos

Teatro Petruzzelli

14:30

–

16:20

CEST

Add to Calendar 2024-10-17 02:30 pm 2024-10-17 04:20 pm Europe/Rome Session 16: Large Language Models 2 A link to view content for Session 16: Large Language Models 2 can be found at recsyshub.org

Paper

Session 16: Large Language Models 2

Session Chair

Yashar Deldjoo

Papers

Demos

Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems

Ting Yang (Hong Kong Baptist University) and Li Chen (Hong Kong Baptist University)

The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation

Zekai Qu (China University of Geosciences Beijing), Ruobing Xie (Tencent Inc.), Chaojun Xiao (Tsinghua University), Zhanhui Kang (Tencent Inc.) and Xingwu Sun (Tencent Inc.)

ReLand: Integrating Large Language Models’ Insights into Industrial Recommenders via a Controllable Reasoning Pool

Changxin Tian (Ant Group), Binbin Hu (Ant Group), Chunjing Gan (Ant Group), Haoyu Chen (Ant Group), Zhuo Zhang (Ant Group), Li Yu (Ant Group), Ziqi Liu (Ant Group), Zhiqiang Zhang (Ant Financial Services Group), Jun Zhou (Ant Financial) and Jiawei Chen (Zhejiang University)

Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation

David Austin (University of Waterloo), Anton Korikov (University of Toronto), Armin Toroghi (University of Toronto) and Scott Sanner (University of Toronto)

Towards Empathetic Conversational Recommender Systems

Xiaoyu Zhang (Shandong University), Ruobing Xie (Tencent), Yougang Lyu (Shandong University), Xin Xin (Shandong University), Pengjie Ren (Shandong University), Mingfei Liang (Tencent), Bo Zhang (Tencent), Zhanhui Kang (Tencent), Maarten de Rijke (University of Amsterdam) and Zhaochun Ren (Leiden University)

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

Hangyu Wang (Shanghai Jiao Tong University), Jianghao Lin (Shanghai Jiao Tong University), Xiangyang Li (Huawei Noah’s Ark Lab), Bo Chen (Huawei Noah’s Ark Lab), Chenxu Zhu (Huawei Noah’s Ark Lab), Ruiming Tang (Huawei Noah’s Ark Lab), Weinan Zhang (Shanghai Jiao Tong University) and Yong Yu (Shanghai Jiao Tong University)

A Comparative Analysis of Text-Based Explainable Recommender Systems

Alejandro Ariza-Casabona (University of Barcelona), Ludovico Boratto (University of Cagliari) and Maria Salamo (Departament of Mathematics and Computer Science, Universitat de Barcelona)

Reproducibility of LLM-based Recommender Systems: the case study of P5 paradigm

Pasquale Lops (University of Bari Aldo Moro), Antonio Silletti (University of Bari Aldo Moro), Marco Polignano (University of Bari Aldo Moro), Cataldo Musto (University of Bari Aldo Moro) and Giovanni Semeraro (University of Bari Aldo Moro)

Camera di Commerio/Riva Club/Circolo Unione

16:20

–

17:10

CEST

Add to Calendar 2024-10-17 04:20 pm 2024-10-17 05:10 pm Europe/Rome Thursday PM Break A link to view content for Thursday PM Break can be found at recsyshub.org

Break

Thursday PM Break

Session Chair

Sponsored by Huawei

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Papers

Demos

Teatro Petruzzelli

17:10

–

18:10

CEST

Add to Calendar 2024-10-17 05:10 pm 2024-10-17 06:10 pm Europe/Rome Session 17: Women in RecSys A link to view content for Session 17: Women in RecSys can be found at recsyshub.org

Paper

Session 17: Women in RecSys

Session Chair

Özlem Özgöbek

Papers

Demos

Teatro Petruzzelli

18:10

–

18:30

CEST

Add to Calendar 2024-10-17 06:10 pm 2024-10-17 06:30 pm Europe/Rome Closing A link to view content for Closing can be found at recsyshub.org

Keynote

Closing

Session Chair

Papers

Demos

Petruzzelli Theater

21:00

–

23:00

CEST

Add to Calendar 2024-10-17 09:00 pm 2024-10-17 11:00 pm Europe/Rome Erasmus Orchestra Concert A link to view content for Erasmus Orchestra Concert can be found at recsyshub.org

Erasmus Orchestra Concert

Session Chair

The concert is open to the public. RecSys has been given a small number of seats, first-come, first-served.

For more information and to reserve your seats, please click here.

Papers

Demos

Politecnico di Bari, Ground Floor

8:00

–

15:00

CEST

Add to Calendar 2024-10-18 08:00 am 2024-10-18 03:00 pm Europe/Rome Friday Registration and Badge Pick-Up A link to view content for Friday Registration and Badge Pick-Up can be found at recsyshub.org

Friday Registration and Badge Pick-Up

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room D

9:00

–

17:45

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 05:45 pm Europe/Rome HealthRecSys: 6th ACM RecSys Workshop on Health Recommender Systems A link to view content for HealthRecSys: 6th ACM RecSys Workshop on Health Recommender Systems can be found at recsyshub.org

Workshop

HealthRecSys: 6th ACM RecSys Workshop on Health Recommender Systems

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room N

9:00

–

12:30

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 12:30 pm Europe/Rome INRA: 12th International Workshop on News Recommendation and Analytics A link to view content for INRA: 12th International Workshop on News Recommendation and Analytics can be found at recsyshub.org

Workshop

INRA: 12th International Workshop on News Recommendation and Analytics

Session Chair

Papers

Posters

Demos

Politecnico di Bari Aula Magna

9:00

–

12:30

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 12:30 pm Europe/Rome INTROSPECTIVES: Reflections on Recommender Systems Past, Present, and Future A link to view content for INTROSPECTIVES: Reflections on Recommender Systems Past, Present, and Future can be found at recsyshub.org

Workshop

INTROSPECTIVES: Reflections on Recommender Systems Past, Present, and Future

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room B

9:00

–

17:45

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 05:45 pm Europe/Rome IntRS 2024: 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems A link to view content for IntRS 2024: 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems can be found at recsyshub.org

Workshop

IntRS 2024: 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room I

9:00

–

12:30

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 12:30 pm Europe/Rome KaRS: Sixth Knowledge-aware and Conversational Recommender Systems Workshop A link to view content for KaRS: Sixth Knowledge-aware and Conversational Recommender Systems Workshop can be found at recsyshub.org

Workshop

KaRS: Sixth Knowledge-aware and Conversational Recommender Systems Workshop

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room L

9:00

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12:30

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 12:30 pm Europe/Rome NORMalize: The Second Workshop on Normative Design and Evaluation of Recommender Systems A link to view content for NORMalize: The Second Workshop on Normative Design and Evaluation of Recommender Systems can be found at recsyshub.org

Workshop

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

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room A

9:00

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17:45

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 05:45 pm Europe/Rome ROEGEN: The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation A link to view content for ROEGEN: The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation can be found at recsyshub.org

Workshop

ROEGEN: The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation

Session Chair

Papers

Posters

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Politecnico di Bari Room C

9:00

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17:45

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 05:45 pm Europe/Rome RecSoGood 2024: First International Workshop on Recommender Systems for Sustainability and Social Good A link to view content for RecSoGood 2024: First International Workshop on Recommender Systems for Sustainability and Social Good can be found at recsyshub.org

Workshop

RecSoGood 2024: First International Workshop on Recommender Systems for Sustainability and Social Good

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room E

9:00

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17:45

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 05:45 pm Europe/Rome RecTour: Workshop on Recommenders in Tourism A link to view content for RecTour: Workshop on Recommenders in Tourism can be found at recsyshub.org

Workshop

RecTour: Workshop on Recommenders in Tourism

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room G

9:00

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10:30

CEST

Add to Calendar 2024-10-18 09:00 am 2024-10-18 10:30 am Europe/Rome Tutorial: Conducting User Experiments in Recommender Systems A link to view content for Tutorial: Conducting User Experiments in Recommender Systems can be found at recsyshub.org

Tutorial

Tutorial: Conducting User Experiments in Recommender Systems

Session Chair

Papers

Posters

Demos

10:30

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11:00

CEST

Add to Calendar 2024-10-18 10:30 am 2024-10-18 11:00 am Europe/Rome Friday AM Coffee Break A link to view content for Friday AM Coffee Break can be found at recsyshub.org

Break

Friday AM Coffee Break

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room G

11:00

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12:30

CEST

Add to Calendar 2024-10-18 11:00 am 2024-10-18 12:30 pm Europe/Rome Tutorial: Conducting Recommender Systems User Studies Using POPROX A link to view content for Tutorial: Conducting Recommender Systems User Studies Using POPROX can be found at recsyshub.org

Tutorial

Tutorial: Conducting Recommender Systems User Studies Using POPROX

Session Chair

Papers

Posters

Demos

Politecnico di Bari, Atrio Cherubini

12:30

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14:15

CEST

Add to Calendar 2024-10-18 12:30 pm 2024-10-18 02:15 pm Europe/Rome Friday Lunch A link to view content for Friday Lunch can be found at recsyshub.org

Lunch

Friday Lunch

Session Chair

Due to the location of Politecnico di Bari, Friday's lunch is provided for you.

‍

Generously sponsored by EY.

Papers

Posters

Demos

Politecnico di Bari Room L

14:15

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17:45

CEST

Add to Calendar 2024-10-18 02:15 pm 2024-10-18 05:45 pm Europe/Rome AltRecSys: A Workshop on Alternative, Unexpected, and Critical Work on Recommendation A link to view content for AltRecSys: A Workshop on Alternative, Unexpected, and Critical Work on Recommendation can be found at recsyshub.org

Workshop

AltRecSys: A Workshop on Alternative, Unexpected, and Critical Work on Recommendation

Session Chair

Papers

Posters

Demos

Politecnico di Bari Aula Magna

14:15

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17:45

CEST

Add to Calendar 2024-10-18 02:15 pm 2024-10-18 05:45 pm Europe/Rome EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models A link to view content for EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models can be found at recsyshub.org

Workshop

EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models

Session Chair

Papers

Posters

Demos

Politecnico di Bari Room I

14:15

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17:45

CEST

Add to Calendar 2024-10-18 02:15 pm 2024-10-18 05:45 pm Europe/Rome RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems A link to view content for RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems can be found at recsyshub.org

Workshop

RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems

Session Chair

Papers

Posters

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15:45

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16:15

CEST

Add to Calendar 2024-10-18 03:45 pm 2024-10-18 04:15 pm Europe/Rome Friday PM Coffee Break A link to view content for Friday PM Coffee Break can be found at recsyshub.org

Break

Friday PM Coffee Break

Session Chair

Papers

Posters

Demos