A Study Of A Personalized Search Engine In Mobile Environment

Nowadays, WWW has entered the more advanced phase of focusing on users' demand. Only by capturing users' real interest and intention and meeting users' demand better can we make more economic benefits. It has been a hot research topic to supply users'with a heart-to-heart and more personalized service. Besides, with the rapid development and popularization of mobile wireless internet, mobile wireless ap-plication has attracted more and more users for its capability and convenience of gett-ing information anytime and anywhere. Mobile search has been the most popular and useful function among these applications. In contrast to conventional search engines, mobile search has the characteristics of smaller screen, higher demand on precise rate. Only by meeting the query user's demand of personalization can we provide users wit-h the most proper result and improve the satisfactory quality. Based on the traits abov-e, this article proposes an effective solution to personalization of mobile search by co-mbining personalized service and mobile search technology. The main task of this art-icle is as follows:Firstly, deeply studies every kind of related theory of mobile search and persona-lization service on the basis of detailedly introducing the personalization demand of mobile wireless search, and discusses their advantages and disadvantages.Secondly, introduces the spreading activation model into the course of updating user profile and designs a method to build and update user profile, which is based on ODP category systems and relevance feedback. It can regulate every interest score in ODP hiberarchy and every concept's term vector by spreading activation score into e-very concept continually.Thirdly, proposes a method of capturing user's individuality information by impl-ictly and explicitly grasping user's intention and behavior, which decides every categ-ory's interest score when users register, then propose a method to get interesting pages on the basis of the surfing behavior and surfing content; aimed at re-ranking the result after capturing user profile introduce a personalized re-rank method based the similar-ity between concept and query.Lastly, detailedly introduces a prototype system, which is implemented by Lucen-e indexer, then designs and implements corresponding experiments. After the campar-ision of the performance, it has been approved that our designed system has a modera-te improvement in Top-n precise rate. The research content of this article effectively analyzes the actual problem in mobile wireless personalized search, and has reference value for the design and impl-entation of mobile information retrieval in a certain extent. The designed personalized mobile search is an effective exploration and has a comprehensive research significa-nce and application value.