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RecSys 2025

A

ACM Conference on Recommender Systems

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240
accepted papers
997
authors
September 22-26, 2025
dates
Czech Republic
location

240 / 240 papers

  1. 1
    "Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation
    Viet-Anh Tran
    ,
    Bruno Sguerra
    ,
    Gabriel Meseguer-Brocal
    ,
    Léa Briand
    ,
    Manuel Moussallam
  2. 2
    "We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research
    Faisal Shehzad
    ,
    Timo Breuer
    ,
    Maria Maistro
    ,
    Dietmar Jannach
  3. 3
    12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'25)
    Peter Brusilovsky
    ,
    Alexander Felfernig
    ,
    Pasquale Lops
    ,
    Marco Polignano
    ,
    Giovanni Semeraro
    ,
    Martijn C. Willemsen
  4. 4
    A Dual-Key Attention Framework for Sequential Recommendation with Side Information
    Minje Kim
    ,
    Wooseung Kang
    ,
    Gun-Woo Kim
    ,
    Chie Hoon Song
    ,
    Suwon Lee
    ,
    Sang-Min Choi
  5. 5
    A Hands-on Dive Into Quantum Computing for Recommender Systems
    Maurizio Ferrari Dacrema
    ,
    Paolo Cremonesi
  6. 6
    A Language Model-Based Playlist Generation Recommender System
    Enzo Charolois-Pasqua
    ,
    Eléa Vellard
    ,
    Youssra Rebboud
    ,
    Pasquale Lisena
    ,
    Raphaël Troncy
  7. 7
    A Media Content Recommendation Method for Playlist Curators using LLM-Based Query Expansion
    Yuta Hagio
    ,
    Chigusa Yamamura
    ,
    Hiromu Ogawa
    ,
    Hisayuki Ohmata
    ,
    Arisa Fujii
  8. 8
    A Multi-Factor Collaborative Prediction for Review-based Recommendation
    Junrui Liu
    ,
    Tong Li
    ,
    Mingliang Yu
    ,
    Shiqiu Yang
    ,
    Zifang Tang
    ,
    Zhen Yang
  9. 9
    A Multistakeholder Approach to Value-Driven Co-Design of Recommender Systems Evaluation Metrics in Digital Archives
    Florian Atzenhofer-Baumgartner
    ,
    Georg Vogeler
    ,
    Dominik Kowald
  10. 10
    A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options
    Thorsten Krause
    ,
    Harrie Oosterhuis
  11. 11
    A Reproducibility Study of Product-side Fairness in Bundle Recommendation
    Huy-Son Nguyen
    ,
    Yuanna Liu
    ,
    Masoud Mansoury
    ,
    Mohammad Aliannejadi
    ,
    Alan Hanjalic
    ,
    Maarten de Rijke
  12. 12
    A Tutorial on Agentic LLM for Recommender Systems
    Chengkai Huang
    ,
    Junda Wu
    ,
    Tong Yu
    ,
    Julian J. McAuley
    ,
    Lina Yao
  13. 13
    A Tutorial on Recent Advances in Generative Conversational Recommender Systems
    Thomas Elmar Kolb
    ,
    Ahmadou Wagne
    ,
    Ashmi Banerjee
    ,
    Fatemeh Nazary
    ,
    Julia Neidhardt
    ,
    Yashar Deldjoo
    ,
    Tommaso Di Noia
  14. 14
    Adding Value to Low-Resource Industrial Recommender Systems
    Cornelia M. Kloppers
  15. 15
    Addressing Multi-stakeholder Fairness Concerns in Recommender Systems Through Social Choice
    Amanda Aird
  16. 16
    Addressing Multiple Hypothesis Bias in CTR Prediction for Ad Selection
    Oren Sar Shalom
    ,
    Neil Daftary
  17. 17
    Advancing User-Centric Evaluation and Design of Conversational Recommender Systems
    Michael Müller
  18. 18
    Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation
    Bereket Abera Yilma
    ,
    Luis A. Leiva
  19. 19
    Agentic Personalisation of Cross-Channel Marketing Experiences
    Sami Abboud
    ,
    Eleanor Hanna
    ,
    Olivier Jeunen
    ,
    Vineesha Raheja
    ,
    Schaun Wheeler
  20. 20
    An Analysis of Learned Product Embeddings in an E-Commerce Context
    Mate Hartstein
    ,
    Eva Giannatou
    ,
    Martin Tegner
  21. 21
    An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization
    Haruka Kiyohara
    ,
    Daniel Yiming Cao
    ,
    Yuta Saito
    ,
    Thorsten Joachims
  22. 22
    APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection
    Tobias Vente
    ,
    Michael Heep
    ,
    Abdullah Abbas
    ,
    Theodor Sperle
    ,
    Joeran Beel
    ,
    Bart Goethals
  23. 23
    Are Recommender Systems Serving Children? Toward Child-Aware Design and Evaluation
    Robin Ungruh
  24. 24
    Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation
    Guohang Zeng
    ,
    Jie Lu
    ,
    Guangquan Zhang
  25. 25
    ArtAICare: An End-to-End Platform for Personalized Art Therapy
    Bereket Abera Yilma
    ,
    Saravanakumar Duraisamy
    ,
    Stefan Penchev
    ,
    Tudor Pristav
    ,
    Luis A. Leiva
  26. 26
    ArtEx: A User-Controllable Web Interface for Visual Art Recommendations
    Rully Agus Hendrawan
    ,
    Peter Brusilovsky
    ,
    Luis A. Leiva
    ,
    Bereket Abera Yilma
  27. 27
    Auditing Recommender Systems for User Empowerment in Very Large Online Platforms under the Digital Services Act
    Matteo Fabbri
    ,
    Ludovico Boratto
  28. 28
    Balanced Public Service Media Recommendation Trade-offs with a Light Carbon Footprint
    Marcel Hauck
    ,
    Michael Huber
    ,
    Juri Diels
    ,
    David Wittenberg
    ,
    Dietmar Jannach
  29. 29
    Balancing Accuracy and Novelty with Sub-Item Popularity
    Chiara Mallamaci
    ,
    Aleksandr V. Petrov
    ,
    Alberto Carlo Maria Mancino
    ,
    Vito Walter Anelli
    ,
    Tommaso Di Noia
    ,
    Craig Macdonald
  30. 30
    Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
    Changping Meng
    ,
    Hongyi Ling
    ,
    Jianling Wang
    ,
    Yifan Liu
    ,
    Shuzhou Zhang
    ,
    Dapeng Hong
    ,
    Mingyan Gao
    ,
    Onkar Dalal
    ,
    Ed H. Chi
    ,
    Lichan Hong
    ,
    Haokai Lu
    ,
    Ningren Han
  31. 31
    Bayesian Perspectives on Offline Evaluation for Recommender Systems
    Michael Benigni
  32. 32
    Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns
    Veronika Ivanova
    ,
    Evgeny Frolov
    ,
    Alexey Vasilev
  33. 33
    Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)
    Eva Zangerle
    ,
    Alan Said
    ,
    Christine Bauer
  34. 34
    Beyond Clicks: Eye-Tracking Insights into User Responses to Different Recommendation Types
    Georgios Koutroumpas
    ,
    Matteo Mazzini
    ,
    Sebastian Idesis
    ,
    Mireia Masias Bruns
    ,
    Joemon M. Jose
    ,
    Sergi Abadal
    ,
    Ioannis Arapakis
  35. 35
    Beyond Immediate Click: Engagement-Aware and MoE-Enhanced Transformers for Sequential Movie Recommendation
    Haotian Jiang
    ,
    Sibendu Paul
    ,
    Haiyang Zhang
    ,
    Caren Chen
  36. 36
    Beyond Persuasion: Adaptive Warnings and Balanced Explanations for Informed Decision-Making in Recommender Systems
    Elaheh Jafari
  37. 37
    Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems
    Amir Reza Mohammadi
    ,
    Andreas Peintner
    ,
    Michael Müller
    ,
    Eva Zangerle
  38. 38
    Beyond Visit Trajectories: Enhancing POI Recommendation via LLM-Augmented Text and Image Representations
    Zehui Wang
    ,
    Wolfram Höpken
    ,
    Dietmar Jannach
  39. 39
    Biases in LLM-Generated Musical Taste Profiles for Recommendation
    Bruno Sguerra
    ,
    Elena V. Epure
    ,
    Harin Lee
    ,
    Manuel Moussallam
  40. 40
    Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism
    Ibrahim Al Hazwani
    ,
    Daniel Lutziger
    ,
    Carlos Kirchdorfer
    ,
    Luca Huber
    ,
    Oliver Robin Aschwanden
    ,
    Jürgen Bernard
    ,
    Ludovico Boratto
  41. 41
    Breaking Knowledge Boundaries: Cognitive Distillation-enhanced Cross-Behavior Course Recommendation Model
    Ruoyu Li
    ,
    Yangtao Zhou
    ,
    Chenzhang Li
    ,
    Hua Chu
    ,
    Jianan Li
    ,
    Yuhan Bian
  42. 42
    Challenges in Perfume Recommender Systems: Navigating Subjectivity, Context and Sensory Data
    Elena-Ruxandra Lutan
  43. 43
    Closing the Online-Offline Gap: A Scalable Framework for Composed Model Evaluation
    Mahanth Kumar Beeraka
    ,
    Chen Chen
    ,
    Yining Lu
    ,
    Briac Marcatte
    ,
    Weikun Lyu
    ,
    Brooke Bian
    ,
    Enriko Aryanto
    ,
    Ellie Wen
    ,
    Mohamed A. Radwan
    ,
    Tianshan Cui
    ,
    Wenjing Lu
    ,
    Mohsen Malmir
    ,
    Yang Li
  44. 44
    Cold Starting a New Content Type: A Case Study with Netflix Live
    Yunan Hu
    ,
    Mark Thornburg
    ,
    Mario García-Armas
    ,
    Vito Ostuni
    ,
    Anne Cocos
    ,
    Kriti Kohli
    ,
    Christoph Kofler
    ,
    Rob Saltiel
  45. 45
    Collaborative Interest Modeling in Recommender Systems
    Yu-Ting Cheng
    ,
    Yu-Yen Ho
    ,
    Jyun-Yu Jiang
  46. 46
    concept2code: Sequential Recommendation with Large Language Models
    Omprakash Sonie
  47. 47
    CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
    Harrie Oosterhuis
    ,
    Olivier Jeunen
    ,
    Yuta Saito
    ,
    Yixin Wang
    ,
    Flavian Vasile
    ,
    Thorsten Joachims
  48. 48
    Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
    Cedric Waterschoot
    ,
    Nava Tintarev
    ,
    Francesco Barile
  49. 49
    Context Trails: A Dataset to Study Contextual and Route Recommendation
    Pablo Sánchez
    ,
    Alejandro Bellogín
    ,
    Jose L. Jorro-Aragoneses
  50. 50
    Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale
    Akira Fukumoto
    ,
    Aghiles Salah
    ,
    Sarthak Shrivastava
    ,
    Alexandru Tatar
    ,
    Yannick Schwartz
    ,
    Vincent Michel
    ,
    Lee Xiong