t different users will focus on different information to be searched, even if the same keyword is used. Against this background, in order to satisfy different users’ different demand, the personalized mendation with different contents for the different users es the new development direction for the merce and information provider. The personalized mendation methods based on mendation algorithms e a hot research topic [1].Р Currently, among the proposed mendation technology, the collaborative filtering algorithm is well known to be the most popular and essful method. However, there are problems in the conventional collaborative filtering algorithm, such as sparsity, expansibility, “cold start” and accuracy [2]. The mendation algorithm based on collaborative filtering is very dependent on the
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