Framework for smoothing-based collaborative filtering recommender system
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- Framework for smoothing-based collaborative filtering recommender system
Recommendations
Collaborative Filtering for Recommender Systems
CBD '14: Proceedings of the 2014 Second International Conference on Advanced Cloud and Big DataCollaborative filtering (CF) predicts user preferences in item selection based on the known user ratings of items. As one of the most common approach to recommender systems, CF has been proved to be effective for solving the information overload ...
An effective recommender system by unifying user and item trust information for B2B applications
Although Collaborative Filtering (CF)-based recommender systems have received great success in a variety of applications, they still under-perform and are unable to provide accurate recommendations when users and items have few ratings, resulting in ...
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence
RecSys '18: Proceedings of the 12th ACM Conference on Recommender SystemsUser-based Collaborative Filtering (CF) is one of the most popular approaches to create recommender systems. This approach is based on finding the most relevant k users from whose rating history we can extract items to recommend. CF, however, suffers ...
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- Conference Chair:
- Randy K. Smith,
- Program Chair:
- Susan V. Vrbsky
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Association for Computing Machinery
New York, NY, United States
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