3rd Workshop on Online and Adaptive Recommender Systems (OARS)
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- 3rd Workshop on Online and Adaptive Recommender Systems (OARS)
Recommendations
2nd Workshop on Online and Adaptive Recommender Systems (OARS)
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningRecommender systems (RecSys) play important roles in helping users navigate, discover, and consume large and highly dynamic information. Today, many RecSys solutions deployed in the real world rely on categorical user-profiles and/or pre-calculated ...
Improving Accuracy of Recommender System by Item Clustering
Recommender System (RS) predicts user's ratings towards items, and then recommends highly-predicted items to user. In recent years, RS has been playing more and more important role in the agent research field. There have been a great deal of researches ...
International Workshop on Online and Adaptive Recommender Systems (OARS 2024)
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementRecommender system (RecSys) plays important roles in helping users navigate, discover, and consume massive and highly-dynamic information. Today, many RecSys solutions deployed in the real world rely on categorical user-profiles and/or pre-calculated ...
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![cover image ACM Conferences](/cms/asset/5754d5c0-9eca-43d4-a1aa-8a476abbdd5f/3580305.cover.jpg)
- General Chairs:
- Ambuj Singh,
- Yizhou Sun,
- Program Chairs:
- Leman Akoglu,
- Dimitrios Gunopulos,
- Xifeng Yan,
- Ravi Kumar,
- Fatma Ozcan,
- Jieping Ye
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Association for Computing Machinery
New York, NY, United States
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