Research And Application Of The Personalized Search Engine Based On The Web Data Mining

The data show that with the rapid development of the Internet, the number of people using the Internet showing the explosive growth of the network has become for people to obtain information on the most important way. The search engine then become one of the most widely used information retrieval tools, the early Internet search engine index alone accumulated data, and different user groups to display the same data. This may cause the results of general search engine is unable to meet the specific search requirements. The wide distribution of information resources on the Internet also allows users to find information of interest to increasing difficulties, vary the hope that the Web search engine can provide personalized information services based on their interest preference.In this article, for the deficiencies of the current search engine, first introduced the background, significance and development status of development of development of personalized search engine, search engine works and architecture, search engine ranking algorithm a brief summary and further research. Personalized key issues and technical implementation of the search engines are discussed. Second, introducing the concept of Web data mining, classification and information retrieval, Web mining technology content mining, structure mining and log mining in search engines. Mining the characteristics of Web data mining and user behavior characteristics are described. The theory put forward for the improvement of the Page rank algorithm, and a related line of research. Finally, on the basis of the existing search engine technology, the theory of the method to achieve a personalized search engine, and design a personalized search engine model, given the function of each module and the realization method.Finally, the personalized search engine technology, prospect research, discussed the development of the next personalized search engine.