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 |
|---|---|---|
| 2022 | Modeling User Repeat Consumption Behavior for Online Novel Recommendation. | Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong |
| 2022 | Neural Re-ranking for Multi-stage Recommender Systems. | Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen |
| 2022 | Position Awareness Modeling with Knowledge Distillation for CTR Prediction. | Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao |
| 2022 | Transformer-Empowered Content-Aware Collaborative Filtering. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales. | Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley |
| 2022 | An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract. | Xinyi Li, Edward C. Malthouse |
| 2022 | REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. | Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond |
| 2022 | Exploring the longitudinal effects of nudging on users' music genre exploration behavior and listening preferences. | Yu Liang, Martijn C. Willemsen |
| 2022 | Psychology-informed Recommender Systems Tutorial. | Elisabeth Lex, Markus Schedl |
| 2022 | Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. | Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl |
| 2022 | Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood. | Sara Latifi, Dietmar Jannach |
| 2022 | Next-basket Recommendation Constrained by Total Cost. | Oleg Lashinin, Marina Ananyeva |
| 2022 | RecSys Challenge 2022: Fashion Purchase Prediction. | Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda |
| 2022 | DAGFiNN: A Conversational Conference Assistant. | Ivica Kostric, Krisztian Balog, Tllv Alexander Aresvik, Nolwenn Bernard, Eyvinn Thu Drheim, Pholit Hantula, Sander Havn-Srensen, Rune Henriksen, Hengameh Hosseini, Ekaterina Khlybova, Weronika Lajewska, Sindre Ekrheim Mosand, Narmin Orujova |
| 2022 | RecWork: Workshop on Recommender Systems for the Future of Work. | Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang |
| 2022 | Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact. | Peter Knees, Andres Ferraro, Moritz Hubler |
| 2022 | A Multi-Stakeholder Recommender System for Rewards Recommendations. | Naime Ranjbar Kermany, Luiz Pizzato, Thireindar Min, Callum Scott, Anna Leontjeva |
| 2022 | Towards Comparing Recommendation to Multiple-Query Search Sessions for Talent Search. | Mesut Kaya, Toine Bogers |
| 2022 | Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. | Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari |
| 2022 | An Incremental Learning framework for Large-scale CTR Prediction. | Petros Katsileros, Nikiforos Mandilaras, Dimitrios Mallis, Vassilis Pitsikalis, Stavros Theodorakis, Gil Chamiel |
| 2022 | Are User-Generated Item Reviews Actually Beneficial for Recommendation? | Tzu-Hua Kao, Lea Dahm, Tobias Eichinger |
| 2022 | An Application of Causal Bandit to Content Optimization. | Sameer Kanase, Yan Zhao, Shenghe Xu, Mitchell Goodman, Manohar Mandalapu, Benjamyn Ward, Chan Jeon, Shreya Kamath, Ben Cohen, Yujia Liu, Hengjia Zhang, Yannick Kimmel, Saad Khan, Brent Payne, Patricia Grao |
| 2022 | Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. | Aditya Joshi, Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mouro, Sabir Ribas, Saumya Pandey |
| 2022 | CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. | Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile |
776–800 of 2,902← PreviousNext →
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