| Abstrakt: |
Traditional behavior analysis based on the keywords or server log is so simple that it is difficult to meet the individual requirements of the user information search. This paper introduces the Multi-agent intelligent technology into four kinds of search behavior analysis, including the user search keywords, the server logs information, the user downloading and saving information, the visit time on the web pages. Collaborative analysis is used to constrcuct search behavior algorithms based on the Multi-Agent's intelligence, which can achieve the accurate locating of the users' interest fields, create and maintain the users' interests automatically, express the users' interests better, provide a new method for the realization of user individual services and improve the search engine efficiency. [ABSTRACT FROM PUBLISHER] |
