The Query Optimization And Subject Classification Strategy Of Mobile Search System

As the popularity of search engine's technology, people would like to quickly get the information they need among the topics which they interest in, thus there comes a new trend which conducts search engine's service to subject classification. With the development of mobile telecommunication, Internet expands its service over wireless network, so it's possible to do search works on cell phone's screen. Under those environments, we suggest to construct a mobile search system which may provides search services to cell phone users with short returned results. This paper concentrates on local store module of mobile search system. By analyses user's query behaviors, we brings forward a store strategy which saves only web pages related to those frequently requested keywords. And then, by use of materialized-views, we announced a new query optimization method on the basis of system's table structure and analysis of users' query characteristics. On the other hand, for the need of subject classification search, this paper digs out the essentiality of middle frequency keywords among result document sets, and designed a simple and high efficiency real-time clustering algorithm and its related concept description algorithm. From the experiment results we can see that the implement of all those strategies results in significant improvement of frequently requested queries' efficiency of mobile search system, as well as subject classification search's effect. Besides, with simple adaptive modification of our real-time clustering algorithm and its related concept description algorithm, we can easily transplant it into full-text search engine in the Internet, i.e. it's a new idea of subject classification for search engine.