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 |
|---|---|---|
| 2021 | Dynamic Graph Construction for Improving Diversity of Recommendation. | Rui Ye, Yuqing Hou, Te Lei, Yunxing Zhang, Qing Zhang, Jiale Guo, Huaiwen Wu, Hengliang Luo |
| 2021 | Local Factor Models for Large-Scale Inductive Recommendation. | Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais |
| 2021 | EX3: Explainable Attribute-aware Item-set Recommendations. | Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang |
| 2021 | Preface. | |
| 2021 | Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. | Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2021 | Sequence or Pseudo-Sequence? An Analysis of Sequential Recommendation Datasets. | Daniel Woolridge, Sean Wilner, Madeleine Glick |
| 2021 | Offline Evaluation Standards for Recommender Systems. | Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mouro, Rafael Colares, Sabir Ribas |
| 2021 | Matrix Factorization for Collaborative Filtering Is Just Solving an Adjoint Latent Dirichlet Allocation Model After All. | Florian Wilhelm |
| 2021 | MOCHI: an Offline Evaluation Framework for Educational Recommendations. | Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky |
| 2021 | User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms. | Ningxia Wang, Li Chen |
| 2021 | User Engagement Modeling with Deep Learning and Language Models. | Maksims Volkovs, Felipe Prez, Zhaoyue Cheng, Jianing Sun, Sajad Norouzi, Anson Wong, Pawel Jankiewicz, Barum Rho |
| 2021 | ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Alpio Mrio Jorge, Marie Al-Ghossein, Albert Bifet |
| 2021 | Follow the guides: disentangling human and algorithmic curation in online music consumption. | Quentin Villermet, Jrmie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth |
| 2021 | Recommenders in Banking: An End-to-end Personalization Pipeline within ING. | Carlos Vaquero-Patricio, Nikki Van Ommeren, Santiago Gil-Begue |
| 2021 | Neural Basket Embedding for Sequential Recommendation. | Vojtech Vancura |
| 2021 | Constraint-Aware Recommendation of Complex Items (Long paper). | Mathias Uta, Alexander Felfernig, Denis Helic |
| 2021 | EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations. | Vuong Thanh Tung, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjberg, Tuukka Ruotsalo, Samuel Kaski |
| 2021 | Multi-Modal Recommender Systems: Hands-On Exploration. | Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw |
| 2021 | Hierarchical Latent Relation Modeling for Collaborative Metric Learning. | Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam |
| 2021 | Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain. | Thi Ngoc Trang Tran, Viet Man Le, Muesluem Atas, Alexander Felfernig, Martin Stettinger, Andrei Popescu |
| 2021 | The Immunity of Users' Item Selection from Serial Position Effects in Multi-Attribute Item Recommendation Scenarios. | Thi Ngoc Trang Tran, Carmen Isabella Baumann, Alexander Felfernig, Viet Man Le |
| 2021 | I Want to Break Free! Recommending Friends from Outside the Echo Chamber. | Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy |
| 2021 | OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems. | Antonela Tommasel, Daniela Godoy, Arkaitz Zubiaga |
| 2021 | An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. | Mats Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Rbert Mro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mria Bielikov |
| 2021 | GReS: Workshop on Graph Neural Networks for Recommendation and Search. | Thibaut Thonet, Stphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein |
876–900 of 2,902← PreviousNext →
Comparable venues
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