Information search and information search sequencing device and method

Abstract

The invention discloses a device and a method for information search sequencing to improve the efficiency of a user in obtaining the target search result so as to reduce the expenditure of associated equipment in a search engine and improve the system performance. The information search sequencing device comprises a determination unit for determining a correlation parameter value of each search document with respect to the search content according to the search content submitted by the user; a predetermination unit for predetermining the user and organizational structure recommended click weight of each search document with respect to the search content; and a sequencing unit for determining the sequencing parameter value of each search document according to the correlation parameter value of each search document and the user and organizational structure recommended click weight, and for returning search results sequenced according to the sequencing parameter value of the search document. The invention further discloses an information search device and a method for improving the accuracy of search results.

Description

technical field [0001] The present invention relates to the field of search technology, in particular to an information search and an information search and sorting device and method. Background technique [0002] With the popularization of commercial search engines, how to integrate user personalization features into search engines is a research hotspot in the field of search technology. In the prior art, the web-based search engine adopts the similarity matching method of the traditional vector space model to search for documents that match the keywords entered by the user, and then re-evaluates the weight of the documents according to the user's search history, and reports to the user Return to search results. [0003] On the one hand, web-based search engines use the vector space model, which is a sorting method based on similarity, which cannot accurately reflect the correlation between search content and search documents, and directly equates similarity with correlati...

AI Technical Summary

Problems solved by technology

[0005] On the other hand, web-based search engines cannot provide search services for specific fields. For some specific industries, such as the communication industry, the information system accumulates a lot of data information, and the organizational structure information is relatively confidential, and the data information is concentrated in the organizational structure local area network. Internally, ordinary web-based search engines cannot search, and cannot meet the needs of internal search within the organizational structure, which is not conducive to knowledge transfer and learning between organizational structures

In addition, users in different departments and different authority groups in the organizational structure have different requirements for obtaining data information, and web-based search engines cannot accurately sort the search results according to the individual needs of users within the organizational structure. Click each search result document to determine whether it meets your own needs, which also occupies the system resources of the search engine, increases the cost of related equipment in the search engine, and affects the performance of the system.

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