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Model training method and device, text pushing method and device, computer equipment and medium

A technology of model training and computer programs, applied in computing, neural learning methods, biological neural network models, etc., can solve problems such as inability to accurately predict CTR, and achieve the effect of improving semantic understanding

Pending Publication Date: 2021-11-26
TENCENT TECH (SHENZHEN) CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above solutions use a set of estimated parameters for the content that has never been pushed, which makes it impossible to accurately predict the CTR of the content

Method used

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  • Model training method and device, text pushing method and device, computer equipment and medium
  • Model training method and device, text pushing method and device, computer equipment and medium
  • Model training method and device, text pushing method and device, computer equipment and medium

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Embodiment Construction

[0044] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0045] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0046] In the field of video search and video recommendation, video title is one of the main components of video content. Based on the tit...

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Abstract

The invention provides a model training method and device, a text pushing method and device, computer equipment and a medium, and belongs to the technical field of artificial intelligence. The method comprises the steps of obtaining sample data, wherein the sample data comprises target text content, a target text category to which the target text content belongs and a historical click passing rate of multimedia resources taking the target text content as a title; processing the target text content based on the target model, and obtaining a first result and a second result, wherein the first result is used for representing the probability that the target text content belongs to the text categories, and the second result is used for representing the predicted click passing rate of the target text content; and training the target model based on the first result and the second result by taking the target text category and the historical click passing rate as supervision information. According to the technical scheme, the model obtained through training can more accurately determine the text category to which the text content belongs and the corresponding click passing rate.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a model training method, text push method, device, computer equipment and media. Background technique [0002] With the rapid development of Internet technology, users can view various interesting multimedia resources, such as documents and videos, through the Internet. Taking a video as an example, before viewing the video, users usually judge whether they are interested in the video according to the title of the video. Therefore, how to push some multimedia resources with titles that attract users to click is a problem that needs to be solved. [0003] For the content to be pushed, the CTR (Click-Through-Rate, click-through rate) of the multimedia resource is usually estimated based on the historical exposure click statistics data of the pushed multimedia resource. [0004] The above solutions use a set of estimated parameters for content that has ne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/335G06F16/35G06F40/30G06N3/04G06N3/08
CPCG06F16/335G06F16/35G06F40/30G06N3/08G06N3/044G06N3/045
Inventor 黄剑辉
Owner TENCENT TECH (SHENZHEN) CO LTD
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