Fault-tolerant text query method and equipment

Abstract

The invention provides a fault-tolerant text query method and equipment. The method comprises the following steps: calculating the text similarity between a first index word submitted by a user and each entry in a lexicon; detecting a result entry of which the text similarity is more than or equal to a first threshold value; and according to the magnitude of the text similarity, arranging the result entry; and providing the arranged result entry to the user for selection. The invention has the advantages that when a user carries out text query and the index word input by the user has wrongly written characters, or redundant words or lacks of one or more words, or the word order in the index word is reverse or above comprehensive faults exist, the invention can furthest find the target entry of the user and has high fault tolerance.

Description

technical field [0001] The invention relates to network information retrieval technology, in particular to a method and device for fault-tolerant text query. Background technique [0002] With the popularization of the network and the great abundance of network resources, network information retrieval has become one of the important means for people to obtain information through query. People use certain search words and search techniques on computers or terminals of computer search networks to obtain the required information from the database of the computer search system. Retrieval techniques generally include two types: retrieval techniques based on exact matching, and retrieval techniques based on non-exact matching. The retrieval technology based on exact matching cannot be fault-tolerant; the non-exact matching retrieval technology allows the user's target resource to be found even if there is a certain difference between the search term entered by the user and the ta...

AI Technical Summary

Problems solved by technology

[0003] The query accuracy of the existing non-exact matching retrieval technology still largely depends on the correctness of the search term entered by the user, that is to say, when there is a large difference between the search term entered by the user and the target resource, the Some retrieval techniques are often unable to accurately query the user's target resources, so when using non-exact matching retrieval techniques, it is expected that the search terms entered by the user are as accurate as possible

However, when users input search terms, it is often impossible to remember the complete name of the target resource, so there will be errors such as typos, redundant words, missing words, and incorrect word order in the search terms. As a result, it has a certain impact, making it impossible to accurately obtain the user's target resources

For example, a user wants to search for "The Love of the Hawthorn Tree" in the movie library, but because he cannot accurately input the name of the movie, he enters "The Love of the Apple Tree" as the search term for query. In this case, the traditional retrieval technology will Unable to find exactly the resource the user expects

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