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RecSys 2024

A

ACM Conference on Recommender Systems

Official site ↗
228
accepted papers
883
authors
October 14-18, 2024
dates
Italy
location

228 / 228 papers

  1. 1
    "More to Read" at the Los Angeles Times: Solving a Cold Start Problem with LLMs to Improve Story Discovery
    Franklin Horn
    ,
    Aurelia Alston
    ,
    Won J. You
  2. 2
    11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24)
    Peter Brusilovsky
    ,
    Marco de Gemmis
    ,
    Alexander Felfernig
    ,
    Marco Polignano
    ,
    Giovanni Semeraro
    ,
    Martijn C. Willemsen
  3. 3
    12th International Workshop on News Recommendation and Analytics (INRA'24)
    Benjamin Kille
    ,
    Andreas Lommatzsch
    ,
    Célina Treuillier
    ,
    Vandana Yadav
    ,
    Özlem Özgöbek
  4. 4
    A Comparative Analysis of Text-Based Explainable Recommender Systems
    Alejandro Ariza-Casabona
    ,
    Ludovico Boratto
    ,
    Maria Salamó
  5. 5
    A Dataset for Adapting Recommender Systems to the Fashion Rental Economy
    Karl Audun Kagnes Borgersen
    ,
    Morten Goodwin
    ,
    Morten Grundetjern
    ,
    Jivitesh Sharma
  6. 6
    A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce
    Guangtao Nie
    ,
    Rong Zhi
    ,
    Xiaofan Yan
    ,
    Yufan Du
    ,
    Xiangyang Zhang
    ,
    Jianwei Chen
    ,
    Mi Zhou
    ,
    Hongshen Chen
    ,
    Tianhao Li
    ,
    Ziguang Cheng
    ,
    Sulong Xu
    ,
    Jinghe Hu
  7. 7
    A Multi-modal Modeling Framework for Cold-start Short-video Recommendation
    Gaode Chen
    ,
    Ruina Sun
    ,
    Yuezihan Jiang
    ,
    Jiangxia Cao
    ,
    Qi Zhang
    ,
    Jingjian Lin
    ,
    Han Li
    ,
    Kun Gai
    ,
    Xinghua Zhang
  8. 8
    A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
    Christian Ganhör
    ,
    Marta Moscati
    ,
    Anna Hausberger
    ,
    Shah Nawaz
    ,
    Markus Schedl
  9. 9
    A New Perspective in Health Recommendations: Integration of Human Pose Estimation
    Gaetano Dibenedetto
  10. 10
    A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
    Daniele Malitesta
    ,
    Claudio Pomo
    ,
    Vito Walter Anelli
    ,
    Alberto Carlo Maria Mancino
    ,
    Tommaso Di Noia
    ,
    Eugenio Di Sciascio
  11. 11
    A Pre-trained Zero-shot Sequential Recommendation Framework via Popularity Dynamics
    Junting Wang
    ,
    Praneet Rathi
    ,
    Hari Sundaram
  12. 12
    A Tool for Explainable Pension Fund Recommendations using Large Language Models
    Eduardo Alves da Silva
    ,
    Leandro Balby Marinho
    ,
    Edleno Silva de Moura
    ,
    Altigran Soares da Silva
  13. 13
    A Tutorial on Feature Interpretation in Recommender Systems
    Zhaocheng Du
    ,
    Chuhan Wu
    ,
    Qinglin Jia
    ,
    Jieming Zhu
    ,
    Xu Chen
  14. 14
    A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation
    Zixuan Yi
    ,
    Iadh Ounis
  15. 15
    Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems
    Yunfan Wu
    ,
    Qi Cao
    ,
    Shuchang Tao
    ,
    Kaike Zhang
    ,
    Fei Sun
    ,
    Huawei Shen
  16. 16
    Adaptive Fusion of Multi-View for Graph Contrastive Recommendation
    Mengduo Yang
    ,
    Yi Yuan
    ,
    Jie Zhou
    ,
    Meng Xi
    ,
    Xiaohua Pan
    ,
    Ying Li
    ,
    Yangyang Wu
    ,
    Jinshan Zhang
    ,
    Jianwei Yin
  17. 17
    AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations
    Jan Hartman
    ,
    Hitesh Sagtani
    ,
    Julie Tibshirani
    ,
    Rishabh Mehrotra
  18. 18
    AI-based Human-Centered Recommender Systems: Empirical Experiments and Research Infrastructure
    Ruixuan Sun
  19. 19
    AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
    Yang Yang
    ,
    Bo Chen
    ,
    Chenxu Zhu
    ,
    Menghui Zhu
    ,
    Xinyi Dai
    ,
    Huifeng Guo
    ,
    Muyu Zhang
    ,
    Zhenhua Dong
    ,
    Ruiming Tang
  20. 20
    AltRecSys: A Workshop on Alternative, Unexpected, and Critical Ideas in Recommendation
    Michael D. Ekstrand
    ,
    Maria Soledad Pera
    ,
    Alan Said
  21. 21
    AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders
    Elizabeth Gómez
    ,
    David Contreras
    ,
    Ludovico Boratto
    ,
    Maria Salamó
  22. 22
    Analyzing User Preferences and Quality Improvement on Bing's WebPage Recommendation Experience with Large Language Models
    Jaidev Shah
    ,
    Gang Luo
    ,
    Jialin Liu
    ,
    Amey Barapatre
    ,
    Fan Wu
    ,
    Chuck Wang
    ,
    Hongzhi Li
  23. 23
    Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers
    Amir Reza Mohammadi
    ,
    Andreas Peintner
    ,
    Michael Müller
    ,
    Eva Zangerle
  24. 24
    Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations
    Ine Coppens
    ,
    Toon De Pessemier
    ,
    Luc Martens
  25. 25
    Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation
    David Eric Austin
    ,
    Anton Korikov
    ,
    Armin Toroghi
    ,
    Scott Sanner
  26. 26
    beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems
    Vojtech Vancura
    ,
    Pavel Kordík
    ,
    Milan Straka
  27. 27
    Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
    Anima Singh
    ,
    Trung Vu
    ,
    Nikhil Mehta
    ,
    Raghunandan H. Keshavan
    ,
    Maheswaran Sathiamoorthy
    ,
    Yilin Zheng
    ,
    Lichan Hong
    ,
    Lukasz Heldt
    ,
    Li Wei
    ,
    Devansh Tandon
    ,
    Ed H. Chi
    ,
    Xinyang Yi
  28. 28
    Bias in Book Recommendation
    Savvina Daniil
  29. 29
    Biased User History Synthesis for Personalized Long-Tail Item Recommendation
    Keshav Balasubramanian
    ,
    Abdulla Alshabanah
    ,
    Elan Markowitz
    ,
    Greg Ver Steeg
    ,
    Murali Annavaram
  30. 30
    Bootstrapping Conditional Retrieval for User-to-Item Recommendations
    Hongtao Lin
    ,
    Haoyu Chen
    ,
    Jaewon Yang
    ,
    Jiajing Xu
  31. 31
    Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?
    Gustavo Penha
    ,
    Ali Vardasbi
    ,
    Enrico Palumbo
    ,
    Marco De Nadai
    ,
    Hugues Bouchard
  32. 32
    Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems
    Nikhil Khani
    ,
    Li Wei
    ,
    Aniruddh Nath
    ,
    Shawn Andrews
    ,
    Shuo Yang
    ,
    Yang Liu
    ,
    Pendo Abbo
    ,
    Maciej Kula
    ,
    Jarrod Kahn
    ,
    Zhe Zhao
    ,
    Lichan Hong
    ,
    Ed H. Chi
  33. 33
    Bridging Viewpoints in News with Recommender Systems
    Jia Hua Jeng
  34. 34
    Calibrating the Predictions for Top-N Recommendations
    Masahiro Sato
  35. 35
    CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
    Yaoyiran Li
    ,
    Xiang Zhai
    ,
    Moustafa Alzantot
    ,
    Keyi Yu
    ,
    Ivan Vulic
    ,
    Anna Korhonen
    ,
    Mohamed Hammad
  36. 36
    Can Editorial Decisions Impair Journal Recommendations? Analysing the Impact of Journal Characteristics on Recommendation Systems
    Elias Entrup
    ,
    Ralph Ewerth
    ,
    Anett Hoppe
  37. 37
    CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework
    Francis Zac dela Cruz
    ,
    Flora D. Salim
    ,
    Yonchanok Khaokaew
    ,
    Jeffrey Chan
  38. 38
    CEERS: Counterfactual Evaluations of Explanations in Recommender Systems
    Mikhail Baklanov
  39. 39
    Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System
    Zhen Zhang
    ,
    Qingyun Liu
    ,
    Yuening Li
    ,
    Sourabh Bansod
    ,
    Mingyan Gao
    ,
    Yaping Zhang
    ,
    Zhe Zhao
    ,
    Lichan Hong
    ,
    Ed H. Chi
    ,
    Shuchao Bi
    ,
    Liang Liu
  40. 40
    Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems
    Yan-Martin Tamm
    ,
    Anna Aljanaki
  41. 41
    Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare
    Bereket Abera Yilma
  42. 42
    Conducting Recommender Systems User Studies Using POPROX
    Robin Burke
    ,
    Joseph A. Konstan
    ,
    Michael D. Ekstrand
  43. 43
    Conducting User Experiments in Recommender Systems
    Bart P. Knijnenburg
    ,
    Edward C. Malthouse
  44. 44
    ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
    Xiao Yu
    ,
    Jinzhong Zhang
    ,
    Zhou Yu
  45. 45
    CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
    Olivier Jeunen
    ,
    Harrie Oosterhuis
    ,
    Yuta Saito
    ,
    Flavian Vasile
    ,
    Yixin Wang
  46. 46
    Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data
    Mahta Bakhshizadeh
    ,
    Heiko Maus
    ,
    Andreas Dengel
  47. 47
    CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
    Jieming Zhu
    ,
    Mengqun Jin
    ,
    Qijiong Liu
    ,
    Zexuan Qiu
    ,
    Zhenhua Dong
    ,
    Xiu Li
  48. 48
    Country-diverted experiments for mitigation of network effects
    Lina Lin
    ,
    Changping Meng
    ,
    Jennifer Brennan
    ,
    Jean Pouget-Abadie
    ,
    Ningren Han
    ,
    Shuchao Bi
    ,
    Yajun Peng
  49. 49
    Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
    Abdulaziz Samra
    ,
    Evgeny Frolov
    ,
    Alexey Vasilev
    ,
    Alexander Grigorevskiy
    ,
    Anton Vakhrushev
  50. 50
    Data Augmentation using Reverse Prompt for Cost-Efficient Cold-Start Recommendation
    Genki Kusano