Algorithm for correlation between words

Abstract

The invention relates to an algorithm for correlation between words. The algorithm is implemented by the following steps: generating a keyword net formed by keywords of all document records according to correlation value and correlation distance of all the document records in a database; after a search word is input by a user, searching document records of which keywords include the search word in the keyword net, and outputting names of the document records including the keywords according to the sequence of correlation between the search word and the keywords. According to the invention, through generating the keyword net formed by keywords of all document records, after the user inputs the search word, document records of which keywords include the search word are searched in the keyword net, and then names of the document records including the keywords according to the sequence of correlation between the search word and the keywords are output, so that the searching efficiency about document records is greatly improved, and names of the document records arranged by correlation are provided for the user, so that use of the user is facilitated, and searching experience of the user is improved.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and in particular relates to a correlation degree algorithm between words. Background technique [0002] When performing data retrieval, it is generally retrieved by entering the corresponding keywords in the search box, especially in some journal paper databases, after entering the keywords, the system automatically outputs the corresponding keywords related to the input keywords according to its own rules. journals or papers for users to choose. This method of retrieving data has greatly improved people's retrieval efficiency and level, but it still cannot meet people's retrieval usage needs. Such a retrieval method only provides the user with documents related to the input keywords, and cannot provide more documents related to the input keywords for the user to use, and when the user keywords are determined inaccurately , the relevant recorded documents are often not retrieved,...

AI Technical Summary

Problems solved by technology

This method of retrieving data has greatly improved people's retrieval efficiency and level, but it still cannot meet people's retrieval and use needs.

Such a retrieval method only provides the user with documents related to the input keywords, and cannot provide more documents related to the input keywords for the user to use, and when the user keywords are determined inaccurately , the relevant recorded documents are often not retrieved, and the user needs to determine the keywords multiple times and perform multiple searches before it is possible to achieve the purpose of the search

Moreover, if the user also needs peripheral related documents at the same time, he also needs to determine different keywords to search again, and the corresponding resources cannot be provided to the user at one time for the user to use, which is troublesome and the retrieval efficiency is relatively low

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