A Research on Fuzzy Formal Concept Analysis Based Collaborative Filtering Recommendation System
Peici Fang, Siyao Zheng · 2009
A novel method for collaborative filtering recommendation based on fuzzy formal concept analysis is proposed in this paper, including the algorithm for user rating matrix fuzzification, the algorithm generating fuzzy concept for rating prediction and the algorithm generating predicting rating. Fuzzy formal concept analysis is a means of conceptual clustering, it not only solves the high sparsity problem of user rating matrix, but also be more efficient when the matrix is more sparse. Sharp edge problem is also solved because of the introduction of fuzzy logic. The experiment applied on a common used Movielens database shows the reasonable accuracy and time efficiency of the proposed collaborative filtering recommendation system.