Personalized Web-based Information Retrieval Research

With the development of computer technology, Internet applications are growing, all kinds of Web-based software technology has been great progress. In order to be able to provide timely and accurate information services, search engine technology came into being, the search engine as the most basic network information service means, to a certain extent on the WWW to meet user requirements on information retrieval, However, because of its universal nature of these common search engine performance data covering wide areas, the large amount of information, data instability, such as degree of redundancy, leading to user queries the accuracy is very low, the effect of different backgrounds to meet, And different purposes in different periods of user queries request.Meta-search engine is a product to meet this demand, the meta search engine technology is an integrated search engine technology, It is mainly through the search engine of choice, select the text, integrate the results of three major steps to complete the task of information retrieval, if properly designed system strategy, members of a search engine selection method suitable, then in relation to the tradition of an independent search engine, the meta search engine Can generally achieve higher coverage and the search for better results. However, meta search engine will be faced with the traditional search engines, like the problem is that the user can personalize the analysis and provide targeted services, and if the system design and integration strategy is too simple and mechanization, the meta search engine In most cases and will not get better information retrieval results.Considering the limitation of the existing meta-search engines and users'personalizing quests, then based on user profiles, this paper propose several algorithms for personalized search. It's main research work includes:(1)Bring forward the yuan of search engine design train of thought, introduce yuan of the search engine population design model and every major component function.(2)Have analysed no advanced function of the search engine precision ration problem, the technology nature has assumed definition and analysis, and has pointed out realization individuation to individuation technology sort step and method.(3)The statistic analysis passing to consumer behavioural characteristic discovers , consumer's inquiry keyword and inquiry process have the upper stability counting significance. Therefore, have founded the consumer model who takes consumer behavioural characteristic as basis.(4)Have discussed the key technology individuation to search for the engine function optimization by theoretical analysis and the function analysis.(5)Study direction to the search engine need developing trend , main part having pointed out the days to come combining with a consumer finally.