User interest based personalized meta search engine and search result processing method

Abstract

The invention discloses a personalized meta search engine based on user interest and a method for processing search results. The search engine comprises a user registration/login unit, a meta search result collecting unit and a personalized processing unit, wherein, the personalized processing unit achieves screening of search results, personalized ordering and establishment and renewal of a user interest model through a search result preprocessing module, a personalized ordering processing module and a user interest renewing module. The method comprises the following steps: establishing and initializing a user interest model and then logging in a server; distributing search words input by users in the format of each search engine required; converting returning results collected into a unified format, removing reprocessing and personalized ordering in sequence, and submitting to the users; and catching search results clicked by users, changing interest types and weight size and renewing the user interest model data. The invention has the advantages that the inquiry coverage and accuracy are high, and the method for processing search results can be used for searching engine in Internet.

Description

technical field [0001] The invention belongs to the technical field of Internet information processing, and relates to search engines, Web data mining and knowledge discovery technologies, in particular to a personalized meta-search system and method based on user interests, which are used in Internet search engines. Background technique [0002] The emergence of search engines has greatly improved people's ability and efficiency of Internet information retrieval, and has become one of the basic applications of the Internet. According to the statistics of China Internet Network Information Center in the middle of 2008, the usage rate of search engines among Chinese netizens is 69.2%, and it is growing at a high speed. %. It can be seen that Internet users have become strongly dependent on search engines. [0003] At present, there are mainly the following technologies in the field of search engines: [0004] (1) Traditional search engine: This search engine is currently t...

AI Technical Summary

Problems solved by technology

[0005] Although such search engines have brought convenience to people, they have defects that cannot be overcome by themselves.

According to professional evaluation, the coverage of network resources of the current mainstream search engines only accounts for about 42% of the entire network, and the relevance of the returned results is less than 45%. Less than 34% of query results requested in different search engines are duplicated

[0009] However, these methods still have drawbacks

For relying on user scoring, the evaluation of a large number of users on search results cannot accurately describe the interests and preferences of a specific user, and it is impossible to realize personalized services for each user; for recording user search history on the user's computer, This method actually only records the search history on this computer. If the user who uses this computer changes or the user searches on another computer, the function of this personalized search will be invalid.

[0010] Judging from the three existing search engine technologies introduced above, personalized search technology is undoubtedly the direction of further development of search engines, but the technical research in this field is far from reaching a mature stage, and more effective and practical personalized Search technologies to improve the user's search experience

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