Searching method and device, electronic equipment and computer storage medium

Abstract

The embodiment of the invention discloses a search method and device, electronic equipment and a computer storage medium, and the search method comprises the steps: after a search term is received, querying from a database according to the search term to obtain a pre-stored file containing at least part of characters in the search term; carrying out first sorting according to the number of the characters of the search terms contained in each pre-stored file; performing de-duplication processing on characters containing the search word in each pre-stored file, and respectively calculating the ratio of the character number of the search word after de-duplication processing to the character number of the search word in each pre-stored file, sorting each pre-stored file for the second time according to the size of each ratio on the basis of the first sorting; and obtaining hierarchical information of each pre-stored file, and performing third sorting on each pre-stored file according to the weight corresponding to each hierarchical information on the basis of the second sorting to obtain a search result.

Description

technical field [0001] The present invention relates to the technical field of information processing, and in particular, to a search method, an apparatus, an electronic device and a computer storage medium. Background technique [0002] In the prior art, such as practical scoring algorithms, similarity algorithms, etc., these ranking algorithms can quickly help us obtain target content that is highly relevant to the keywords we retrieve from the massive data. These algorithms also have corresponding deficiencies. For example, the pre-stored document itself marks the level information, and each level of information is classified from high to low. Among them, the text content contained in the pre-stored file with lower level information is higher than that of the pre-stored file with higher level information. The file contains more text content, and pre-stored files with lower level information may contain more repeated keyword characters. At this time, when searching for pre...

AI Technical Summary

Problems solved by technology

These algorithms also have corresponding deficiencies. For example, the pre-stored document itself marks the level information, and each level of information has a level distinction from high to low. Among them, the text content contained in the low-level information pre-stored file is higher than the higher-level pre-stored information. The file contains more text content, and the lower-level information may contain more repeated keyword characters in the pre-stored file. At this time, when searching for the pre-stored file through search terms, the lower-level information may be displayed first. This search result is not a better search result

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