3rd workshop on recommender systems and the social web
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- 3rd workshop on recommender systems and the social web
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2nd workshop on recommender systems and the social web
RecSys '10: Proceedings of the fourth ACM conference on Recommender systemsThe exponential growth of the Social Web both poses challenges, and presents opportunities for Recommender System research. The Social Web has turned information consumers into active contributors who generate large volumes of rapidly changing online ...
Improving Recommender Systems by Incorporating Social Contextual Information
Due to their potential commercial value and the associated great research challenges, recommender systems have been extensively studied by both academia and industry recently. However, the data sparsity problem of the involved user-item matrix seriously ...
A survey of collaborative filtering based social recommender systems
Recommendation plays an increasingly important role in our daily lives. Recommender systems automatically suggest to a user items that might be of interest to her. Recent studies demonstrate that information from social networks can be exploited to ...
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- General Chairs:
- Bamshad Mobasher,
- Robin Burke,
- Program Chairs:
- Dietmar Jannach,
- Gediminas Adomavicius
Sponsors
In-Cooperation
- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
- SIGIR: ACM Special Interest Group on Information Retrieval
- SIGecom: Special Interest Group on Economics and Computation
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Association for Computing Machinery
New York, NY, United States
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