Search Engine Technology Research And Applications

Meta search engine is base on component search engines. It sends the user query to a number of component search engines simultaneously, then merges the results lists returned from them into a single ranked list and presents the merged results to users. It has become a main prospect of research.First, the state-of-the-art of the traditional search engines and the Meta search engines are overviewed, then analysis of the several main technologies of Meta search engine are proposed, including the scheduling of component search engines, the merging of search results, and personalized service. Based on these researches, the algorithm of the Meta search engine in this paper is proposed. The main work of this paper includes:(1) Analyze the scheduling of component search engines, and select a proper scheduling based on the characteristics of the component search engines in this paper.(2) Track the users' behavior (including clicking and voting), and upon that, we analyze the behaviors and modify the user model continuously. This user model provides the foundation of component search engine scheduling and results merging.(3) Propose the results merging algorithm base on the users' behavior. It computes the rank value of a document to a user query, and removes repeated results away, so as to get good search results close to users' favor.In the end, we designed a Meta Search Engine on the basis of analyzing users' behavior. Comparing to the existing Meta search engine, it has a friendly user interface, and provide a convenient way of checking the rough content of a webpage quickly. Also, as its component search engine scheduling algorithm and result merging algorithm are based on the users' behavior, it's more prone to users' favor of using search engine.