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Search result processing method and device and similarity model training method and device

A technology of search results and processing methods, applied in the computer field, can solve the problems of inaccurate calculation of the similarity of search results and inability to meet the different search needs of users, and achieve the effect of improving reliability and accuracy

Active Publication Date: 2019-08-23
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a search result processing and similarity model training method and device to solve the problem of inaccurate calculation of search result similarity and inability to meet different search needs of users in the prior art

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  • Search result processing method and device and similarity model training method and device
  • Search result processing method and device and similarity model training method and device

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] In order to facilitate the understanding of the embodiments of the present invention, several concepts are briefly introduced below:

[0056] Triplet hinge loss: It is a loss function in deep learning, which is used to train samples with small differences, including anchor examples, positive examples and negative examples, by optimizing anchor examples and The distance between positive examples is smaller than the distance between anchor...

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Abstract

The invention relates to the technical field of computers, in particular to a search result processing method and device and a similarity model training method and device. The method comprises the steps of obtaining search results according to search keywords; respectively obtaining accurate matching scores of the search results; respectively determining semantic matching weight vectors of the search results and semantic representation vectors of the search keywords and the search results, and obtaining semantic matching scores of the search results according to the determined semantic representation vectors and the corresponding semantic matching weight vectors; and obtaining the similarity between each search result and the search keyword according to the accurate matching score and thesemantic matching score of each search result, so that the influence of semantic matching and accurate matching on the final similarity can be adjusted through the semantic matching weight vector, theaccuracy of a similarity result is improved, and the actual search requirement of a user is better met.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a search result processing and similarity model training method and device. Background technique [0002] With the development of the Internet, users can obtain the required information by querying and searching. However, users have various search needs, and there are many resources on the Internet, and there may be many search results after searching. For easy viewing, it is necessary to sort the search results, and the ones that better meet the user's needs should be sorted first. [0003] In the prior art, after the user enters the search keyword, the corresponding search result list can be obtained according to the search keyword, and then the text similarity calculation is performed through the algorithm model, sorted according to the similarity score, and the sorted search results are returned. list of results. [0004] However, the algorithm model of similarity calcula...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33
CPCG06F16/3346G06F16/3334G06F40/30G06N3/08G06N3/045G06F16/24578
Inventor 吴逸峰颜强郑文豪陈晓寅詹德川
Owner TENCENT TECH (SHENZHEN) CO LTD
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