Webpage recommendation method based on user browsing behaviors

The invention relates to a webpage recommendation method based on user browsing behaviors. The webpage recommendation method based on user browsing behaviors is characterized by comprising the steps that (1) the dwell time and information about the webpage content of each webpage are collected through a browser; (2) text analysis is carried out on the webpage content, and a feature item of each webpage is obtained; (3) according to the webpage dwell time and the feature item of each webpage, the interest degree of the user in each feature item is analyzed, and weights of user interest classes are obtained; (4) the interest class with the largest weight serves as the keyword, and webpages related to the user interest on the Web are all grasped according to the classes through a crawler program; (5) the similarity between the grasped webpages and the webpages which a user has browsed is calculated through a cosine included angle function, and the webpages with a higher similarity are pushed to the user.