The Research And Implement Of The Meta Search Engine And The Clustering Algorithm

Information retrieval finds relative documents from a large dataset. The emergence of Web changes the way people used to find information; in the mean while, semi-structure data becomes the dominating research object of modern information retrieval techniques. With the fast growing of the Web, the traditional Web information retrieval techniques can hardly meet the requirement of the increasing high accurate searching tasks. Fortunately, a search engine with clustering function can theoretically solve the problems brought by the up listing challenges. It not only improves the web search result to a high quality and intelligent level, but also provides people an easy way to acquire information they need more swiftly and precisely.This master thesis investigates some models and algorithms in the present Web information retrieval fields, especially the key phrase finding techniques and the searching result clustering algorithms. Apart from that, we also provide a solution to effectively optimize the search engine quality by combining a clustering engine with a Meta searching engine. In addition, based on all the above fundamental researches, we implemented a Web information retrieval prototype, which integrates...