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
Most published authors
RecSys papers
2,902 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation. | David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner |
| 2024 | A Comparative Analysis of Text-Based Explainable Recommender Systems. | Alejandro Ariza-Casabona, Ludovico Boratto, Maria Salam |
| 2024 | The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. | Guy Aridor, Duarte Gonalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan |
| 2024 | Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). | Vito Walter Anelli, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker |
| 2024 | Playlist Search Reinvented: LLMs Behind the Curtain. | Geetha Sai Aluri, Siddharth Sharma, Tarun Sharma, Joaquin Delgado |
| 2024 | GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation. | Zafar Ali, Guilin Qi, Irfan Ullah, Adam A. Q. Mohammed, Pavlos Kefalas, Khan Muhammad |
| 2024 | Exploiting Contextual Normalizations and Article Endorsement for News Recommendation. | Andrea Alari, Lorenzo Campana, Federico Giuseppe Ciliberto, Saverio Maggese, Carlo Sgaravatti, Francesco Zanella, Andrea Pisani, Maurizio Ferrari Dacrema |
| 2024 | Social Choice for Heterogeneous Fairness in Recommendation. | Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke |
| 2024 | Explainable and Faithful Educational Recommendations through Causal Language Modelling via Knowledge Graphs. | Neda Afreen |
| 2024 | Workshop on Context-Aware Recommender Systems (CARS) 2024. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2024 | SURE 2024: Workshop on Strategic and Utility-aware REcommendation. | Himan Abdollahpouri, Tonia Danylenko, Masoud Mansoury, Babak Loni, Daniel Russo, Mihajlo Grbovic |
| 2024 | Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. | Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig MacDonald, Aleksandr Vladimirovich Petrov |
| 2024 | Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. | Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng |
| 2024 | Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. | Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He |
| 2024 | One-class Matrix Factorization: Point-Wise Regression-Based or Pair-Wise Ranking-Based? | Sheng-Wei Chen, Chih-Jen Lin |
| 2024 | Optimal Baseline Corrections for Off-Policy Contextual Bandits. | Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke |
| 2023 | Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. | Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun |
| 2023 | Deep Exploration for Recommendation Systems. | Zheqing Zhu, Benjamin Van Roy |
| 2023 | Equivariant Contrastive Learning for Sequential Recommendation. | Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim |
| 2023 | Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach. | Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu, Hui Xiong |
| 2023 | Reciprocal Sequential Recommendation. | Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu |
| 2023 | Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. | Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | Alleviating the Long-Tail Problem in Conversational Recommender Systems. | Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen |
| 2023 | Augmented Negative Sampling for Collaborative Filtering. | Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen |
| 2023 | Large Scale CVR Prediction through Hierarchical History Modeling. | Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering