Recommender system based on user information

One of the most successful recommender system, collaborative filtering (CF) still has problems: sparsity deteriorating the accuracy of recommendation and scalability making it difficult to expand data smoothly. In particular, sparsity can reduce the accuracy of recommendation, causing a serious problem in terms of reliability. In this paper, in order to… CONTINUE READING