Content recommendation method and device based on artificial intelligence and computer equipment

A content recommendation and content technology, applied in the Internet field, can solve the problems of lack of new users, low accuracy of information recommendation, and difficulty in predicting user interests, so as to achieve the effect of improving accuracy and solving insufficient user characteristics.

Active Publication Date: 2020-11-20
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the traditional way, due to the lack of user behavior characteristics of new users, it is difficult to predict the interests of users themselves, and it is impossible to accurately recommend personalized content to new users, resulting in low accuracy of information recommendation

Method used

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  • Content recommendation method and device based on artificial intelligence and computer equipment
  • Content recommendation method and device based on artificial intelligence and computer equipment
  • Content recommendation method and device based on artificial intelligence and computer equipment

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Embodiment Construction

[0060] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0061] The artificial intelligence-based content recommendation method provided in this application can be applied to computer equipment. A computer device can be a terminal or a server. It can be understood that the artificial intelligence-based content recommendation method provided in this application can be applied to terminals, servers, or systems including terminals and servers, and can be realized through the interaction between terminals and servers.

[0062] The content recommendation method based on artificial intelligence provided by this application can be app...

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Abstract

The invention relates to a content recommendation method and device based on artificial intelligence and computer equipment. The method comprises the following steps: acquiring source domain user characteristics corresponding to a new user of a target domain in a source domain; performing feature mapping on the source domain user features through a trained task-oriented mapping model to obtain mapped user features mapped from the source domain to the target domain; through a pre-trained content recommendation model, carrying out click prediction of the recommended content according to the mapping user characteristics and the target domain content characteristics of each candidate content in the target domain; screening to-be-recommended contents from the candidate contents according to a click prediction result; pushing the to-be-recommended content to the new user of the target domain. By adopting the method, the content recommendation accuracy of the new user can be effectively improved.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to an artificial intelligence-based content recommendation method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of Internet technology, recommendation technology based on big data and artificial intelligence has emerged as the times require, and many recommendation systems have emerged, which can intelligently recommend content that users are interested in to users. The recommendation system can usually predict the user's preference by analyzing the user's historical behavior information, so as to recommend the information that the user is interested in, so as to meet the user's personalized recommendation needs. [0003] In a recommendation system, for new users who do not have historical data in this field, a common practice is to recommend information with higher popularity to new users according to the pop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/958G06N20/00
CPCG06F16/9535G06F16/958G06N20/00
Inventor 朱勇椿葛凯凯张旭林乐宇庄福振
Owner TENCENT TECH (SHENZHEN) CO LTD
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