A Book Collaborative Filtering Recommendation Based on ROCK Clustering and Transitive Similarity
Zhang Yu · Microcomputer Information · 2010
Aiming at the problem of collaborative filtering used in recommendation system, a collaborative filtering-based book recommendation algorithm is proposed. Clustering, transitive similarity and collaborative filtering were combined in this algorithm. Thus decrease the intensity of searching nearest neighbor and the sparsity, improve the real-time performance and the accuracy of the recommendation.