The Degree of User Interest Based on User's Browsing Behaviors

摘要

This paper analyzes the relationship between the user's browsing behavior and user interest.User interest is reflected by typical user's browsing behaviors that can be categorized as: saving pages,printing pages,bookmarking pages,the times of a certain page visiting and the dwell time on a page.Considering the five factors of user's browsing behaviors as well as the size of a page,an algorithm based on the speed of the page browsing was derived for the degree of user interest.Meanwhile,a BP neural network was utilized for the fusion of the degree of user interest.The training samples of the BP neural network were feed by collected user's browsing behaviors.The rationality and feasibility of the algorithm for the user interest degree was verified in the research.