Research On Input Information Model Based On User Interest

The internet has given rise to a powerful information resource,also give peple information in a variety of www find accurate information has brought great difficulties.Now, keyword-based information retrieval system, in many types of search engines in the leading position, and the user is easy to apply this type of search.Description of the intent of the user query has some information ambiguity. Information main reasons causing blurring the following aspects:(1) information difficult descriptive;(2) knowledge of the limitations of the user.Therefore, the search process will cause some users to query information intent information distortion.How to accurately choose to use search engines, how to make it have a more friendly user interface, how to use effective comprehensive search engine integration resources, how to better handle user input information and understand the query information of the user how accurate are the heavy task will now face.Meta search engine is based on independent search engine on the search engine. Meta search engine is to provide unity using multiple existing search engines provide service for the user interface to search and service. The use of meta search engine advantage, realization and save the user to build user model to represent the interest features and Webpage retrieval behavior, then the feedback information search and learning to improve the user model, on the basis of implementation provides great convenience to the user input information processing technology research and the members of the selection strategy of search engine at the same time, effectively improve the efficiency of the user search. In this paper, the search engines and meta search engine works based on the study of various input information processing techniques were related research and comparative analysis of their strengths and weaknesses in the user query interface module part of the introduction of personalized treatment for users provides personalized search needs service,and thus expand the research.User model part is the research focus, and developed a new type of user model. It ontology established on the basis of the reference interest hierarchical mesh user interest model, and describes the user model initialization and updates.The Papers in the meta-search engine management module adds member search engine management module part, the various member of the search engine characteristics were analyzed and compared by combining user query intent analysis and search engine optimization techniques to members of the selection strategy accordingly design...