Study On Personalized Information Retrieveal Based On Web Mining

With the development of Internet rapidly, the information on Internet is creasing dramatically. SE plays a very important role in searching information on Web. However, for its all-purpose characteristics, they can't satisfy the query from the different background, with the different intention and at different time. It has been a research hotspot in Web technologies to provide personalized services according to user profiles. Web mining is one of the key technologies of Web personalization.Firstly, this dissertation analyzes and studies the current status of SE, points out the significance of studying personalized information retrieval. Then it overviews the the technologies of traditional information retrieval, researches the hierarchical classifications of Web information retrieval systems (IRS), and the basic structure and principle of SE, probes the directions of the development of SE. Secondly, the dissertation introduces the definition and tasks of Web mining, studies and analyzes the relation between Web mining and traditional information retrieval and the applications of Web mining in SE, Based on the above theories, the dissertation researches the key technologies about personalized information retrieval especially, presents the methods of constructing and renewing the methods of user interest model and realizing personalized searching, designs a personalized information retrieval(PIRS) based on Web mining, and describes the relative function modules in detail, and its characteristic, which has flexible retrieval pattern and personalized results. Finally, a summarization about this dissertation is made and discusses the prospects about personalized information retrieval.