RSS-based e-learning recommendations exploiting fuzzy FCA for Knowledge Modeling
Applied Soft Computing
Lattice navigation for collaborative filtering by means of (fuzzy) formal concept analysis
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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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.