The Research And Implementation Of Personalized Search Engine

With the rapid development of Internet technology, the network can provide people more and more information. Search engine has been widely used in many fields, which is treated as a tool that people can get information on World Wide Web. In order to provide personalized search service for users, personalized search engine comes forth. Because of many researchers contribution, people have made great progress in personalized search engine. This paper points out the shortage of current search engine and user's requirements of personalized search, does some research on search engine and its technology, and designs a personalized search engine model that is based on user's interests mining.The main tasks of the paper are as follows:Firstly, this paper researches and implements the personal model. This paper analyzes the characters of personalized search, researches the search engine and its technology, and designs a model that is based on user's interests mining. The model gets user's interests from the pages that he has visited before, classifies the pages according to the same interest, and manages the user's interests according to the interest types. As to the storage of user's interests, this paper consults the ODP catalog structure, establishes user interest tree to store the user's interests, and uses the short interest and long interest to describe the user's interest characters. In order to reflect user's interests changing in time, this paper updates user's interests using the algorithm based on forgetting mechanism.Secondly, this paper researches and implements other modules of personalized search engine besides the personal model. The modules include Chinese segmenting, search extending, network spider, index establishment and update and result ranking. This paper takes the implementing difficulty of related technology and user's requirements of personalized search into account, and brings forward the algorithms of the modules above.At last, experiments are conducted to verity the efficacy of the personalized search engine designed above. The contents of the experiment include two parts: the establishment of personal model and the personalized search.