User interest modeling method based on user browsing behavior

Abstract

The invention discloses a user interest modeling method based on user browsing behavior, comprising the steps of constructing a user interest model in an apparent mode and updating the user interest model in a concealed mode. The step of constructing the user interest model in the apparent mode is a process of primarily establishing and initializing the user interest model through user registration, and the step of updating the user interest model in the concealed mode is realized by analyzing and researching the user access preference according to the condition that users accesses Web pages under the condition of no need of user participation. By using the method, new interests of users can be automatically discovered, and feature items with low interestingness in the user interest model can be eliminated. Therefore, one the one hand, the interest change of users can be better monitored, and on the other hand, the unlimited increase of the user interest model can be controlled in time, and the stability of the interest model is improved.

Description

technical field [0001] The present invention is aimed at the research of user interest modeling method, and mainly studies how to effectively obtain user interest information based on user browsing behavior, and designs related algorithms for user interest modeling, involving traffic identification, Web mining, and user behavior analysis , machine learning, data mining, and natural language. Background technique [0002] Personalized recommendation service is a new generation of information service and the trend of information service development. By studying the interests of different users and actively recommending the most needed resources for users, it can better solve the problem that Internet information is increasingly huge but cannot meet user needs. contradiction. User interest model has become the core and key technology of personalized recommendation service. [0003] The user interest model is not a general description of individual users, but an algorithm-orie...

AI Technical Summary

Problems solved by technology

[0005] (2) The current methods used to update the user interest model either overemphasize the immediacy of user interest and ignore the persistence; or pay too much attention to the time factor while ignoring the active discovery of new user interests

[0006] It can be seen from the above that it is difficult to accurately identify the interests of users using traditional user interest modeling methods.

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