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 |
|---|---|---|
| 2025 | A Media Content Recommendation Method for Playlist Curators using LLM-Based Query Expansion. | Yuta Hagio, Chigusa Yamamura, Hiromu Ogawa, Hisayuki Ohmata, Arisa Fujii |
| 2025 | Large Scale E-Commerce Model for Learning and Analyzing Long-Term User Preferences. | Yonatan Hadar, Yotam Eshel, Tal Franji, Bracha Shapira, Michelle Hwang, Guy Feigenblat |
| 2025 | Streaming Trends: A Low-Latency Platform for Dynamic Video Grouping and Trending Corpora Building. | Yang Gu, Caroline Zhou, Qiao Zhang, Scott Wang, Yongzhe Wang, Li Zhang, Nikos Parotsidis, CJ Carey, Ashkan Fard, Mingyan Gao, Yaping Zhang, Sourabh Bansod |
| 2025 | Untitled record | Hao Gu, Rui Zhong, Yu Xia, Wei Yang, Chi Lu, Peng Jiang, Kun Gai |
| 2025 | Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders. | Danil Gusak, Anna Volodkevich, Anton Klenitskiy, Alexey Vasilev, Evgeny Frolov |
| 2025 | Recommendation Is a Dish Better Served Warm. | Danil Gusak, Nikita Sukhorukov, Evgeny Frolov |
| 2025 | Rethinking Subjective Features in Recommender Systems: Personal Views Over Aggregated Values. | Arsen Matej Golubovikj, Marko Tkalcic |
| 2025 | VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. | Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Krpeoglu, Kannan Achan |
| 2025 | Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale. | Akira Fukumoto, Aghiles Salah, Sarthak Shrivastava, Alexandru Tatar, Yannick Schwartz, Vincent Michel, Lee Xiong |
| 2025 | Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations. | Andrea Forster, Simone Kopeinik, Denis Helic, Stefan Thalmann, Dominik Kowald |
| 2025 | How Powerful are LLMs to Support Multimodal Recommendation? A Reproducibility Study of LLMRec. | Maria Lucia Fioretti, Nicola Laterza, Alessia Preziosa, Daniele Malitesta, Claudio Pomo, Fedelucio Narducci, Tommaso Di Noia |
| 2025 | Narrative-Driven Itinerary Recommendation: LLM Integration for Immersive Urban Walking. | Fabio Ferrero |
| 2025 | MuRS: 3rd Music Recommender Systems Workshop. | Andres Ferraro, Lorenzo Porcaro, Christine Bauer |
| 2025 | Generalized User Representations for Large-Scale Recommendations and Downstream Tasks. | Ghazal Fazelnia, Sanket Gupta, Claire Keum, Mark Koh, Timothy Christopher Heath, Guillermo Carrasco Hernndez, Stephen Xie, Nandini Singh, Ian Anderson, Maya Hristakeva, Petter Pehrson Skidn, Mounia Lalmas |
| 2025 | Multi-Armed Bandits in the Wild. | Kim Falk |
| 2025 | PAIRSAT: Integrating Preference-Based Signals for User Satisfaction Estimation in Dialogue Systems. | Eran Fainman, Adir Solomon, Osnat Mokryn |
| 2025 | Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge. | Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stl, Mounia Lalmas |
| 2025 | Auditing Recommender Systems for User Empowerment in Very Large Online Platforms under the Digital Services Act. | Matteo Fabbri, Ludovico Boratto |
| 2025 | Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization. | Gustavo Escobedo, David Penz, Markus Schedl |
| 2025 | FAccTRec 2025: The 8th Workshop on Responsible Recommendation. | Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen |
| 2025 | Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation. | Wei-Wei Du, Takuma Udagawa, Kei Tateno |
| 2025 | Measuring Interaction-Level Unlearning Difficulty for Collaborative Filtering. | Haocheng Dou, Tao Lian, Xin Xin |
| 2025 | Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers. | Yue Dong, Han Li, Shen Li, Nikhil Patel, Xing Liu, Xiaodong Wang, Chuanhao Zhuge |
| 2025 | How Do Users Perceive Recommender Systems' Objectives? | Patrik Dokoupil, Ludovico Boratto, Ladislav Peska |
| 2025 | Practical Multi-Task Learning for Rare Conversions in Ad Tech. | Yuval Dishi, Ophir Friedler, Yonatan Karni, Natalia Silberstein, Yulia Stolin |
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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