Research Of Intelligent Search Base For Users' Behavior

Because of the Internet's rapid development, a lot of problems are bought to users by the information's increasing and redundant. These problems also put higher quality requirements to the search engine.In this paper, we studied a lot of literature for information and research results in the field of intelligent search engines, analysis and compared of mainly segmentation algorithm and documents classification algorithm, designed an adaptive personalized search engine system. Based on the user search history behavior and the current feedback analysis, provided the expansion of user's query and automatically adjust search results function, The system can effectively meet the needs of user enquiries.In this paper, we have given the general scheme and its key technology in detail of the system, provide the key module's main functions and algorithms, and test the system. The results of experiment show that the system can meet the design goals and has good value and prospects.