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Training method of search intention recognition model and search intention recognition method and device

A search intent and recognition model technology, applied in the training field of search intent recognition model, can solve the problem that the content is difficult to meet the needs of users, and it is difficult to accurately identify the user's search intent.

Pending Publication Date: 2021-06-04
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult for related technologies to accurately identify the user's search intent, making it difficult for the recommended content to meet the user's needs.

Method used

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  • Training method of search intention recognition model and search intention recognition method and device
  • Training method of search intention recognition model and search intention recognition method and device
  • Training method of search intention recognition model and search intention recognition method and device

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Embodiment Construction

[0027] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0028] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, step...

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PUM

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Abstract

The invention discloses a training method of a search intention recognition model, a search intention recognition method, a search intention-based content recommendation method and device, equipment, a medium and a product, and relates to the fields of deep learning, natural language processing, intelligent recommendation and the like. The training method of the search intention recognition model comprises the steps of obtaining a plurality of search texts, wherein each search text has a plurality of tags representing a search intention; each search text is input into a search intention recognition model, and the search intention recognition model comprises a feature extraction network and a plurality of recognition networks; extracting feature data of the search text by using a feature extraction network; processing the feature data by using a plurality of recognition networks to obtain a plurality of recognition results in one-to-one correspondence with the plurality of tags; and adjusting model parameters of the search intention recognition model based on the plurality of recognition results and the tag corresponding to each recognition result to obtain a trained search intention recognition model.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence technology, especially deep learning, natural language processing, intelligent recommendation and other fields, and more specifically, to a training method for a search intent recognition model, a search intent recognition method, a content recommendation method based on search intent, Apparatus, Electronic Equipment, Media and Program Products. Background technique [0002] When a user needs to search for relevant content on the Internet, for the user's search statement, related technologies generally identify the user's search intent based on the user's search statement, so as to recommend relevant content for the user according to the user's search intent. However, it is difficult for related technologies to accurately identify the user's search intention, resulting in that the recommended content is difficult to meet the user's needs. Contents of the invention [0003] The pr...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9532G06K9/62G06N3/04G06N3/08
CPCG06F16/9535G06F16/9532G06N3/08G06N3/045G06F18/22Y02D10/00
Inventor 张其来黄岳朱景曦
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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