Recommended Based On Intelligent Search Engine Technology

With the development of Internet, there is a great quantity of information to fulfill customer's need of information. On the contrary, it becomes more and more difficult for user to get information that the customer need. Customers become harder to satisfy by existing search engine technology, especially in the breadth and accuracy of information request. To improve the service quality of search engine, after comparing with many Clustering technology, and research works that other researcher have done on improving Clustering technology, this thesis proposed a new Clustering method named HWSTC Clustering that composed of Suffix Tree Clustering and CURE Clustering. This Clustering technology with the price of costing more time to improve the Recall and Precision of Clustering.The main work in this thesis is list below:(1) Analyzed research status quo and improvement of search engine in domestic and overseas(2) Researched and introduced related technologies of treating Chinese text, information extracting , VSM modeling and various kinds of clustering technology—traditional and online Clustering technology which aim at web search.(3) Analyzed and designed the frame and process of intelligent suggestion of web search result(4)Proposed an improved Clustering technology of Suffix Tree Clustering(5)By carrying out a fix quantity test, analyzed different performance between HWSTC Clustering algorithm and other two Clustering method it inherit from. Analyzed feasibility of this Clustering method.