Method for auto constructing classified catalogue and relevant system

Abstract

The invention provides a method for automatically building a classified catalogue. The method comprises: searching the concept terms related to a searched word submitted by a user from the available data to achieve a concept term set related to the searched word; calculating the relevancy among the concept terms in the concept term set; according to the relevancy among the concept term, performing the classifying and clustering operations for the concept terms in the concept term set so as to achieve at least one concept term category; organizing the concept term in the concept term set according to the concept term categories to be a classified catalogue, and returning to the user. On the basis of the exiting search engine, the method can generate a classified catalogue corresponding to a searched word provided by a user, and the classified catalogue can reflect different meanings of the word searched by the user. Therefore, the method is conducive to finding the needed information more easily and rapidly.

Description

technical field [0001] The invention relates to the field of computer search, in particular to a method and a corresponding system for creating a classification catalog for search results in the computer search process. Background technique [0002] The rapid development of computer and Internet technology has facilitated people's access to information. Especially in recent years, with the rapid development of search engine technology, it has become a very common phenomenon for Internet users to obtain information through search engines. The "Global Internet Statistical Information Report" released by the CNNIC Information Service Department in January 2005 already showed that search engines accounted for 84% of Internet users. There are probably more search engine users now. But most of the time the current search engines can't return the correct answer. According to the survey of Nielsen-Norman Group, the evaluation success rate of search engines is only 42%. [0003] H...

AI Technical Summary

Problems solved by technology

However, compared with the first generation search engine, the current second-generation search engine also introduces two disadvantages: one is that the results returned by the search engine lack the effective organization of manual directories, which is not conducive to browsing.

Another point is that when the user's initial query fails, the user cannot use the directory index to find the relevant content of the current query

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