Hybrid Gaussian pLSA model and item based collaborative filtering recommendation
Fansheng Kong · Computer Engineering and Applications Journal · 2010
Collaborative Filtering(CF) is one of the most popular techniques that help users to make choices and find rele-vant items in a recommend system.Many proposed algorithms predict users preferences only based on the connections of users or products,which have bottlenecks and accuracy limitations.A hybird recommend method has been developed,which combines the Gaussian probabilistic latent semantic analysis and the improved item based collaborative filtering together.That method models a mixture of user communities and generates similar items of target item respectively.Experiments on the movielens dataset show that the proposed approach compares favorably with other collaborative filtering techniques.