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ACM International Conference on Recommender Systems

RecSys

A

CORE rank

CORE rank (raw)

A

Acceptance rate

18.0% (2024 full papers)

Fields of research

Data Management and Data Science

Papers indexed

2,902

2007–2025

Papers per year

2007239 peak2025

RecSys papers

2,902 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2022Towards Psychologically-Grounded Dynamic Preference Models.Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell
2022Extracting User Preferences and Personality from Text for Restaurant Recommendation.Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka
2022Combination of User and Venue Personality with Topic Modelling in Restaurant Recommender Systems.Evripides Christodoulou, Andreas Gregoriades, Herodotos Herodotou, Maria Pampaka
2022Off-Policy Actor-critic for Recommender Systems.Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi
2022TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022Denoising Self-Attentive Sequential Recommendation.Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming
2022Reusable Self-Attention Recommender Systems in Fashion Industry Applications.Marjan Celikik, Ana Peleteiro-Ramallo, Jacek Wasilewski
2022An Online Experiment of a Price-Based Re-Rank Algorithm.Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2022Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels.Giovanni Castiglia, Ayoub El Majjodi, Federica Cal, Yashar Deldjoo, Fedelucio Narducci, Alain Starke, Christoph Trattner
2022Recommendations: They're in fashion.Carlos Carvalheira, Tiago Lacerda, Diogo Gonalves
2022Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation.Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu
2022Learning Recommendations from User Actions in the Item-poor Insurance Domain.Simone Borg Bruun, Maria Maistro, Christina Lioma
2022Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22).Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
2022Learning Users' Preferred Visual Styles in an Image Marketplace.Raul Gomez Bruballa, Lauren Burnham-King, Alessandra Sala
2022BRUCE: Bundle Recommendation Using Contextualized item Embeddings.Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last
2022Flow Moods: Recommending Music by Moods on Deezer.Tho Bontempelli, Benjamin Chapus, Franois Rigaud, Mathieu Morlon, Marin Lorant, Guillaume Salha-Galvan
2022FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services.Toine Bogers, Cataldo Musto, David (Xuejun) Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng
2022Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022).Toine Bogers, David Graus, Mesut Kaya, Francisco Gutirrez, Sepideh Mesbah, Chris Johnson
2022MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer.Bhumika, Debasis Das
2022Augmenting Netflix Search with In-Session Adapted Recommendations.Moumita Bhattacharya, Sudarshan Lamkhede
2022Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib.Christy D. Bergman, Kourosh Hakhamaneshi
2022Challenges in Translating Research to Practice for Evaluating Fairness and Bias in Recommendation Systems.Lex Beattie, Dan Taber, Henriette Cramer
2022Tutorial on Offline Evaluation for Group Recommender Systems.Francesco Barile, Amra Delic, Ladislav Peska
2022Timely Personalization at Peloton: A System and Algorithm for Boosting Time-Relevant Content.Shayak Banerjee, Vijay Pappu, Nilothpal Talukder, Shoya Yoshida, Arnab Bhadury, Allison Schloss, Jasmine Paulino
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Comparable venues

Other A*/A conferences filed under the same field of research.