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 | Towards Personality-Aware Explanations for Music Recommendations Using Generative AI. | Gabrielle Alves, Dietmar Jannach, Luan Soares de Souza, Marcelo Garcia Manzato |
| 2025 | Integrating Individual and Group Fairness for Recommender Systems through Social Choice. | Amanda Aird, Elena Stefancova, Anas Buhayh, Cassidy All, Martin Homola, Nicholas Mattei, Robin Burke |
| 2025 | Addressing Multi-stakeholder Fairness Concerns in Recommender Systems Through Social Choice. | Amanda Aird |
| 2025 | Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems. | Parviz Ahmadov, Masoud Mansoury |
| 2025 | Pareto-Optimal Solution: Optimizing Engagement and Revenue. | Shaghayegh Agah, Shaun Schaeffer, Maria Peifer, Neeraj Sharma, Ankit Maheshwari, Sardar Hamidian |
| 2025 | Workshop on Context-Aware Recommender Systems. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger |
| 2025 | Agentic Personalisation of Cross-Channel Marketing Experiences. | Sami Abboud, Eleanor Hanna, Olivier Jeunen, Vineesha Raheja, Schaun Wheeler |
| 2025 | USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations. | Jiaqi Zheng, Cheng Guo, Yi Cao, Chaoqun Hou, Tong Liu, Bo Zheng |
| 2025 | Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation. | Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Han Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems. | Jacek Dabrowski, Maria Janicka, Lukasz Sienkiewicz, Gergely Stomfai, Dietmar Jannach, Francesco Barile, Marco Polignano, Claudio Pomo, Abhishek Srivastava |
| 2025 | RecPS: Privacy Risk Scoring for Recommender Systems. | Jiajie He, Yuechun Gu, Keke Chen |
| 2025 | NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation. | Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai |
| 2025 | Normative Alignment of Recommender Systems via Internal Label Shift. | Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Ryotaro Shimizu, Julian J. McAuley, Pierre-Alexandre Mattei, Jes Frellsen |
| 2025 | Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. | Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi |
| 2024 | CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. | Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li |
| 2024 | Discerning Canonical User Representation for Cross-Domain Recommendation. | Siqian Zhao, Sherry Sahebi |
| 2024 | Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data. | Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen |
| 2024 | Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling. | Qi Zhang, Jieming Zhu, Jiansheng Sun, Guohao Cai, Ruining Yu, Bangzheng He, Liangbi Li |
| 2024 | Towards Empathetic Conversational Recommender Systems. | Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren |
| 2024 | EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. | Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long |
| 2024 | Large Language Models as Evaluators for Recommendation Explanations. | Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang |
| 2024 | Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System. | Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu |
| 2024 | Scaling Law of Large Sequential Recommendation Models. | Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. | Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin |
226–250 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