A Web Page-Oriented Model of User Interests Mining and Recommendation

A new kind of Web page interests mining and recommendation model is proposed in this paper because of the disadvantage of interest mining and recommendation algorithm at present. It adopts visit frequency and residence time as interest source, and uses linked lists to store the structure of pages and interest information for the sake of saving storage space effectively. The interest contribution ratio is used to adjust interest degree to top pages, and interest attenuate ratio to punish interest to delayed pages. Thus, a new web page-oriented model of interest mining and recommendation is formed.