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RecSys 2025

A

ACM Conference on Recommender Systems

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240
accepted papers
226
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
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  2. 2
    "We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research
    Faisal Shehzad
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  3. 3
    12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'25)
    Peter Brusilovsky
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  4. 4
    A Dual-Key Attention Framework for Sequential Recommendation with Side Information
    Minje Kim
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  5. 5
    A Hands-on Dive Into Quantum Computing for Recommender Systems
    Maurizio Ferrari Dacrema
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  6. 6
    A Language Model-Based Playlist Generation Recommender System
    Enzo Charolois-Pasqua
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  7. 7
    A Media Content Recommendation Method for Playlist Curators using LLM-Based Query Expansion
    Yuta Hagio
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  8. 8
    A Multi-Factor Collaborative Prediction for Review-based Recommendation
    Junrui Liu
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  9. 9
    A Multistakeholder Approach to Value-Driven Co-Design of Recommender Systems Evaluation Metrics in Digital Archives
    Florian Atzenhofer-Baumgartner
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  10. 10
    A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options
    Thorsten Krause
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  11. 11
    A Reproducibility Study of Product-side Fairness in Bundle Recommendation
    Huy-Son Nguyen
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  12. 12
    A Tutorial on Agentic LLM for Recommender Systems
    Chengkai Huang
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  13. 13
    A Tutorial on Recent Advances in Generative Conversational Recommender Systems
    Thomas Elmar Kolb
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  14. 14
    Adding Value to Low-Resource Industrial Recommender Systems
    Cornelia M. Kloppers
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  15. 15
    Addressing Multi-stakeholder Fairness Concerns in Recommender Systems Through Social Choice
    Amanda Aird
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  16. 16
    Addressing Multiple Hypothesis Bias in CTR Prediction for Ad Selection
    Oren Sar Shalom
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  17. 17
    Advancing User-Centric Evaluation and Design of Conversational Recommender Systems
    Michael Müller
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  18. 18
    Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation
    Bereket Abera Yilma
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  19. 19
    Agentic Personalisation of Cross-Channel Marketing Experiences
    Sami Abboud
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  20. 20
    An Analysis of Learned Product Embeddings in an E-Commerce Context
    Mate Hartstein
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  21. 21
    An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization
    Haruka Kiyohara
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  22. 22
    APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection
    Tobias Vente
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  23. 23
    Are Recommender Systems Serving Children? Toward Child-Aware Design and Evaluation
    Robin Ungruh
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  24. 24
    Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation
    Guohang Zeng
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  25. 25
    ArtAICare: An End-to-End Platform for Personalized Art Therapy
    Bereket Abera Yilma
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  26. 26
    ArtEx: A User-Controllable Web Interface for Visual Art Recommendations
    Rully Agus Hendrawan
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  27. 27
    Auditing Recommender Systems for User Empowerment in Very Large Online Platforms under the Digital Services Act
    Matteo Fabbri
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  28. 28
    Balanced Public Service Media Recommendation Trade-offs with a Light Carbon Footprint
    Marcel Hauck
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  29. 29
    Balancing Accuracy and Novelty with Sub-Item Popularity
    Chiara Mallamaci
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  30. 30
    Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
    Changping Meng
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  31. 31
    Bayesian Perspectives on Offline Evaluation for Recommender Systems
    Michael Benigni
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  32. 32
    Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns
    Veronika Ivanova
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  33. 33
    Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)
    Eva Zangerle
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  34. 34
    Beyond Clicks: Eye-Tracking Insights into User Responses to Different Recommendation Types
    Georgios Koutroumpas
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  35. 35
    Beyond Immediate Click: Engagement-Aware and MoE-Enhanced Transformers for Sequential Movie Recommendation
    Haotian Jiang
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  36. 36
    Beyond Persuasion: Adaptive Warnings and Balanced Explanations for Informed Decision-Making in Recommender Systems
    Elaheh Jafari
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  37. 37
    Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems
    Amir Reza Mohammadi
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  38. 38
    Beyond Visit Trajectories: Enhancing POI Recommendation via LLM-Augmented Text and Image Representations
    Zehui Wang
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  39. 39
    Biases in LLM-Generated Musical Taste Profiles for Recommendation
    Bruno Sguerra
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  40. 40
    Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism
    Ibrahim Al Hazwani
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  41. 41
    Breaking Knowledge Boundaries: Cognitive Distillation-enhanced Cross-Behavior Course Recommendation Model
    Ruoyu Li
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  42. 42
    Challenges in Perfume Recommender Systems: Navigating Subjectivity, Context and Sensory Data
    Elena-Ruxandra Lutan
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  43. 43
    Closing the Online-Offline Gap: A Scalable Framework for Composed Model Evaluation
    Mahanth Kumar Beeraka
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  44. 44
    Cold Starting a New Content Type: A Case Study with Netflix Live
    Yunan Hu
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  45. 45
    Collaborative Interest Modeling in Recommender Systems
    Yu-Ting Cheng
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  46. 46
    concept2code: Sequential Recommendation with Large Language Models
    Omprakash Sonie
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  47. 47
    CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
    Harrie Oosterhuis
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  48. 48
    Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
    Cedric Waterschoot
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  49. 49
    Context Trails: A Dataset to Study Contextual and Route Recommendation
    Pablo Sánchez
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  50. 50
    Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale
    Akira Fukumoto
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