Data query method and device and readable medium

Abstract

The invention discloses a data query method and device and a readable medium. The method comprises the following steps: carrying out word segmentation on a search string submitted by a user; aiming ateach keyword obtained after word segmentation, determining a word feature value of the keyword, a first association feature value used for representing a relationship between the keyword and the search string, a second association feature value used for representing a relationship between the keyword and an adjacent word of the keyword in the search string, a word feature value of an adjacent word of the keyword in the search string and a feature value of the search string; Respectively determining the weight of each keyword in the search string according to the word characteristic value of each keyword, the first association characteristic value, the second association characteristic value, the word characteristic value of the adjacent word and the characteristic value of the search string; And based on the weight of each keyword in the search string, determining a query keyword and performing query to obtain a query result of the search string, so that the weight of the obtained keyword can better conform to the actual importance degree of the keyword in the search string.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data query method, device and readable medium. Background technique [0002] In search, the process of document recall is generally as follows: first, word segmentation is performed on the search string (query) to obtain several keywords, then the importance of each keyword is determined, and based on the importance of each keyword, the documents with higher importance are selected. The keyword is used as a query fragment to query the document recall result, and the result of the importance of the keyword directly determines the recall strategy in the search process, and then affects the recall result. [0003] The traditional solution is to determine the weight (importance) of the keyword only by calculating the keyword's Term Frequency (Term Frequency, TF) and Inverse Document Frequency (Inverse Document Frequency, IDF). If the values ​​in the strings are the...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a data query method, device, and readable medium to

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