Research Of The Search Engine In Personalization Of Groups Based On Lucene

Internet is a highly open, heterogeneous and distributed information space, a flood of information clutter in various sites spread around the world, but also very fast pace every day updates. As the Internet technology and the increasingly wide range of network applications, Internet has become the people's access to information resources and an important way of exchange of information. With the development of the Internet, Web information is also growing mass of Internet information on how to find the information they need to become impeded development of the Internet a major challenge. While traditional search engines have greatly improved the appearance of network information retrieval speed.A certain extent, solved this problem, but still can not meet people's information service the growing demand for personalization. At the same time, in this pay attention to personality and people-oriented era, personalized and user-friendly search engine, became the needs of the times. Makes personalized search engine has become an important current research topic.In this thesis, a traditional search engine in the user interface, personalization of the defects, the use of personalized information acquisition system to collect and extract the user's personalized information, through the expansion of user needs and optimize the search process and results, to provide users with personalized and user-friendly information on search service. This paper has done the main work is as follows:1,Briefly we introduce the Lucene tools that mainstream research and application, and personalize the current mainstream search engines made the relevant principles and application of theoretical description, focusing on personalized information collection and updating of the analysis, for the next lay the foundation for further research to improve.2,Personalized Search Engine for the shortcomings and problems, a new personalized search engine is advanced that the Search Engine in personalization of groups. Through analysis and comparison of data, the Search Engine in personalization of groups for applications in the analysis of the feasibility and service. Overall structure of the design with the client-server model, the Search Engine in personalization of groups for system implementation, focusing on the Search Engine in personalization of groups a number of important model design and implementation, such as user model design and implementation of personalized query expansion module, personalized ranking module.3,Based on the implementation in the system, respectively, with the traditional search engines and personalized search engine search results comparison and analysis of the group's strengths and weaknesses of individual search engines.This study will provide personalized content search engine that a new development direction for the further development of search engines to provide a new platform and the beginning of the theory.