Reaction type search method and contents correlation technique based on contents relativity

A search method and correlation technology, applied in the field of web content correlation mining, can solve the problems of decision, difficult to learn ranking function effectively, lack of search results, etc.

Inactive Publication Date: 2008-09-03
TIANJIN UNIV
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Problems solved by technology

However, it has the following problems: on the one hand, in order to submit a set of most pertinent search results to users, it is often necessary to use a very fine classification granularity for pre-classification processing, but the fine classification granularity often leads to a large number of classification crossovers.
The disadvantage of this method is: for general search engines, when encountering am

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  • Reaction type search method and contents correlation technique based on contents relativity
  • Reaction type search method and contents correlation technique based on contents relativity
  • Reaction type search method and contents correlation technique based on contents relativity

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Embodiment Construction

[0056] The query expansion mechanism of Feedback Search Engine (FSE) depends on the definition of the relevance of web page content. The present invention defines the content correlation between any two webpages according to the number of times that any two webpages are opened at the same time (in the same query event), that is, the more the number of simultaneous openings, the greater the content correlation between the two webpages. In practical applications, even if sparse representation is used, the size of the n×n webpage correlation matrix may be large, so it is necessary to use efficient dimensionality reduction methods (such as direct random mapping method, DRP) to compress it.

[0057] Usually search engine users will not randomly click on the links on the search result list, but make some purposeful judgment and choice. Users tend to click on the links that match their needs. Therefore, click data is a kind of implicit feedback that contains rich information. If the...

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Abstract

The invention discloses a reaction type search method and a context correlation method based on context correlation. The method comprises the following steps: when a enquiry request is received, a original enquiry result set is generated by using a main search engine; after current user sees a enquiry result and point-hits a target web, the target web's ID is obtained, and relativity of all web in the original enquiry result set and the target web is queried from a web relative matrix K; and a web which has greatest relativity with the target web is used as a new enquiry result to submit the user. Comparing with prior art, the invention avoids to learn complex ranking function of query-sensitive, cancels search class concept, and replaces with web grade relative analysis to a solve grain size-ascription problem of category classification; the method does not need an action of tracking a particular user in long term comparing with a configured file tracking method based on user selfhood; comparing with a direct optimization search result's method based on point-hitting data, the method can effectively solve problems such as one meaning with two or more words and one word having two or more meanings.

Description

technical field [0001] The present invention relates to a content management system using computer technology and its realization method, in particular to a method for realizing correlation mining of webpage content under the framework of a feedback search engine. Background technique [0002] With the rapid development of the Internet, search engines have become the most important way for WEB users to obtain network resources. At present, mainstream search engines mainly generate relevant query results based on the occurrence frequency of query words input by users in web pages, supplemented by information such as the authority of web pages. However, because the keywords submitted by WEB users are generally very short and may have ambiguity, the search engine cannot determine the webpage required by the user, which reduces the accuracy of the search results and affects the pertinence of the retrieved information (including search and search). A comprehensive evaluation of ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 侯越先
Owner TIANJIN UNIV
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