LBCF: A Link-Based Collaborative Filtering for Overfitting Problem in Recommender System
IEEE Transactions on Computational Social Systems（2021）
Abstract
Recommender system (RS) suggests relevant objects to generate personalized service and minimize information overload issue. User-based collaborative filtering (UBCF) plays a dominant role in practical RSs. However, traditional UBCF suffers from a recommendation overfitting problem, i.e., recommendations generated by UBCF usually concentrate on popular items, resulting in lower diversity. In additi...
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Key words
Diversity reception,Collaboration,Recommender systems,Technological innovation,Motion pictures,Merging,User-generated content
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