User's background information-Based Collaborative filtering Algorithm
SU Yi-dan · Microcomputer Information · 2010
Currently,Collaborative filtering Algorithms ignore lots of information of users,in view of this situation,a method that sufficiently utilizes users' background information is proposed. This method proposes two models:user basic model and user preferences model. After computed similarity of two model respectively,we can find the pseudo neighborhood of the target user. Target user finds the genuine neighborhood by computing similarity with pseudo neighborhood.