A Comprehensive Survey on Biclustering-based Collaborative Filtering
Miguel G. Silva,
Sara C. Madeira,
Rui Henriques
Abstract:Collaborative Filtering (CF) is achieving a plateau of high popularity. Still, recommendation success is challenged by the diversity of user preferences, structural sparsity of user-item ratings, and inherent subjectivity of rating scales. The increasing user base and item dimensionality of e-commerce and e-entertainment platforms creates opportunities, while further raising generalization and scalability needs. Moved by the need to answer these challenges, user-based and item-based clustering approaches for C… Show more
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