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Information recommendation method, device and equipment and computer readable storage medium

A technology for information recommendation and information quality, applied in the Internet field, can solve the problems of poor recommendation effect and inability to carry out statistics in the recommendation system, achieve accurate popularity and improve the effect of information recommendation

Pending Publication Date: 2021-01-01
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the solutions in related technologies are only applicable to content that has already been consumed, and statistics cannot be made on newly produced content, and, due to the complexity of the recommendation system, the recommendation effect for a certain group of people may be poor

Method used

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  • Information recommendation method, device and equipment and computer readable storage medium
  • Information recommendation method, device and equipment and computer readable storage medium
  • Information recommendation method, device and equipment and computer readable storage medium

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the scope of protection of this application.

[0027] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present application have the same meaning as commonly understood by those skilled in the technical field of the embodiments of the present application. The terms used in the embodiments of the present application are only for the purpose of describing the embodiments of the pres...

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PUM

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Abstract

The embodiment of the invention provides an information recommendation method, device and equipment and a computer readable storage medium, and relates to the technical field of artificial intelligence. The method comprises the steps of obtaining at least one first type of feature and at least one second type of feature of each piece of to-be-recommended information in a to-be-recommended information set, and performing feature cross processing on the at least one first type of feature to obtain a first prediction score; performing feature fusion processing on the at least one second type of features to obtain a second prediction score; performing prediction result transformation processing on the first prediction score and the second prediction score to obtain a tendency score of the to-be-recommended information; and recommending at least one piece of to-be-recommended information in the to-be-recommended information set to a target object according to the tendency score of each piece of to-be-recommended information. Through the embodiment of the invention, the popularity degree of the to-be-recommended information on the specific crowd can be described more accurately, and theinformation recommendation effect on the specific crowd is improved.

Description

technical field [0001] The embodiment of the present application relates to the technical field of the Internet, and relates to but not limited to an information recommendation method, device, equipment, and computer-readable storage medium. Background technique [0002] In the information flow recommendation scenario, user characteristics and content characteristics are indispensable for the recommendation system. Most of the existing content characteristics are defined based on the prior information of the content itself. For example, according to the video content itself, the video is classified as Sports, movies, etc. are not linked to user behavior. For the user side, in addition to using the user's basic information, the recommendation system will use the user's historical consumption behavior to construct the user's point-of-interest characteristics corresponding to the content characteristics. When recommending, it uses the characteristics of the above-mentioned user...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/735
CPCG06F16/9535G06F16/735
Inventor 张晗马连洋衡阵
Owner TENCENT TECH (SHENZHEN) CO LTD
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