Vertical search method and device, electronic equipment and storage medium

A vertical search and historical search technology, applied in the computer field, can solve the problems of poor model training effect, low correlation between search results and search keywords, etc., to improve the accuracy of the model, improve the correlation, and improve the effect of data difference.

Pending Publication Date: 2021-12-21
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a service search method, device, electronic device and storage medium to so

Method used

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  • Vertical search method and device, electronic equipment and storage medium
  • Vertical search method and device, electronic equipment and storage medium
  • Vertical search method and device, electronic equipment and storage medium

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the application clearer, the technical solutions of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the application. Obviously, the described embodiments are the Some embodiments of the technical solution, but not all embodiments. Based on the embodiments described in the application documents, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the technical solutions of the present application.

[0043] Some concepts involved in the embodiments of the present application are introduced below.

[0044] 1. Vertical search is a professional search engine for specific fields, and it is a subdivision and extension of search engines. By integrating the information in the specific field in the database, the data is extracted by ...

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Abstract

The invention relates to the technical field of computers, and provides a vertical search method and device, electronic equipment and a storage medium which are used for improving the model training effect and further improving the vertical search relevance. The method comprises: after a vertical search request is received, storing a target search keyword contained in the vertical search request in a database; inputting into a semantic matching model obtained based on extended data set training to obtain a search result of a set search type, and then returning a search result page containing the search result. Therefore, the initial training data is expanded through the entity association relationship contained in the service knowledge graph, and the data diversity is increased, so that the model training effect is improved, and the correlation between the search result and the search keyword is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and provides a vertical search method, device, electronic equipment and storage medium. Background technique [0002] With the development of search engine technology, in order to meet the diverse search needs, vertical search is gradually widely used. Vertical search is a professional search service proposed for a specific field, such as official account search, applet search, service search, etc.; among them, service search includes services in various fields such as education, government affairs, and housekeeping. For example, when users After entering the search keyword "nanny", a list of services that can provide nanny services can be displayed in the search results. [0003] Since the amount of training data is limited, it is necessary to expand the training data before training the model adopted by the vertical search. In related technologies, historical behavior data is used...

Claims

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Application Information

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IPC IPC(8): G06F16/9532G06F16/36G06F40/279G06F40/30G06N20/00
CPCG06F16/9532G06F16/367G06F40/279G06F40/30G06N20/00
Inventor 毛铁峥赵子元颜强
Owner TENCENT TECH (SHENZHEN) CO LTD
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