信息检索中的用户兴趣洞察

With the development of science and society, Internet has become an important tool in our study and work and it is so closed to our life. There are so large numbers of information on the internet that it is a very important research subject that how to get information we are interested in. In this paper we discuss how to get user’s intention from query word and search engine’s return result and how to improve retrieval result based on intention information. First, it defines user’s intention. Then it introduces how to express user’s intention with TR algorithm and how to cluster user’s intention with K-means algorithm. Finally, it gives the result of intention research system. Experiment indicates that retrieval result has been improved obviously when we add user’s intention factor to the retrieval system.