Personalized searching realization method based on user interest

Abstract

The invention discloses a personalized searching realization method based on user interest profiles. According to the method, firstly, a web page is extracted from a browser page buffer memory of users, the clustering is carried out according to the hyperlink relationship contained in the page, the obtained clustering represents one kind of user interest, and the ratio of the page number contained by the clustering to the total page number represents the interest enthusiasm degree; then, a novel user interest profile representing method is provided, in addition, a weighted association rule method based on loyalty indexes is adopted in the user interest page clustering, and an association rule entry in the clustering is dug to be used as the representative for the user interest profile; finally, the obtained user interest profile is used for deducing the user searching request, the user searching request is expanded and is submitted to a universal searching engine through the interaction confirmation with the users, after the expansion, the searching request can focus the searching result into the user interest range, and the personalized searching of the users is realized. The method can be used for browsing Internet browsers, and can help the users to improve the searching experience.

Description

technical field [0001] The invention relates to a technology for realizing individualized search on the Internet, in particular to a method for realizing individualized search based on user's interest by digging and displaying user's interest profiles. Background technique [0002] For current search engines based on keyword matching, most users lack experience in improving search results and cannot accurately express the information they want. Moreover, search engine users often only give relatively few query words (according to statistics, more than 70% of the search words have only one, and 90% have no more than 3). Demand, the thousands of result pages that search engines will return, users can't browse one by one at all, usually just view the search results of the first few pages. A large number of pages containing the user's search keywords may have nothing to do with the user's interests. Therefore, for users, it is quite time-consuming and laborious to find useful ...

AI Technical Summary

Problems solved by technology

The problem is that the user's search records cannot fully represent the preference information of individual users

Applying ontology directly to the current retrieval method still has the problem of combining two completely different expression systems

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