In order to solve the limitations of search engine personalization issues of interest to users in the study based on the status of the search engine, through a more comprehensive record of more than Agent, analysis of user search behavior, a new integrated user search behavior, build the user a sense of Research interest in the framework of the search engine- search for Behavior Analysis Based on Multi-Agent user interest model. The results show that the user search behavior based on user interest model is constructed so that the search engine returns results more close to user needs. Personalized services to meet customers and improve the information search recall and precision.

Analysis Based on Multi-Agent Search.pdf

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