Mining Users Similarity of Interests in Web Community
In Web Community marketing, it is an essential research to discover potential consumer groups based on their interests. In real society, the sociologists deem that the intimate friends show more similarities in their interests. Based on a large number of experimental analysis and data statistics of Web Community users, this paper proves that the view is also suitable for Web Community, and it is used to excogitate to discover the users with similar interests by induction and estimation. This paper compares conversation degree and interest similarity in sample user data, conducts the conjecture experiments and then obtains the relationship between conversation degree and interest similarity by statistics and analysis on the basic conversations.