The investigation for Web user clustering based on interest

摘要

It is a key aspect of Web mining to cluster users in terms of browsing interests on Web. The page content and the interests browsing path are taken into account in the measurement of browsing. Thereafter, a new method is brought forth to calculate similarity of interests and users are clustered by using a threshold λ. The result of this experiment shows that the new method can efficiently improve precision of clustering.