Article recommendation method based on we-media number grade and related product

A recommendation method and self-media technology, applied in the computer field, can solve the problem of not considering the dimension of the self-media account, and achieve the effect of improving the system.

Pending Publication Date: 2020-02-28
深圳市雅阅科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the dimension of the self-media account is not considered, there may be articles that do not meet the needs of users when recommending articles

Method used

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  • Article recommendation method based on we-media number grade and related product
  • Article recommendation method based on we-media number grade and related product
  • Article recommendation method based on we-media number grade and related product

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Embodiment Construction

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0060] The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, bu...

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Abstract

The embodiment of the invention discloses an article recommendation method based on a we-media number grade and a related product. The method comprises the following steps: acquiring M we-media numbers and article information corresponding to the M we-media numbers respectively, and obtaining a first ascending grade and a first descending grade corresponding to the M we-media numbers respectivelyaccording to the M we-media numbers and the article information; processing the first upgrades and the first downgrades respectively corresponding to the M we-media numbers to obtain we-media number grades respectively corresponding to the M we-media numbers; and when an article recommendation request sent by a first terminal is received, obtaining a user grade corresponding to the first terminal,and recommending an article corresponding to the we-media number grade matched with the user grade to the first terminal. By grading the we-media number and the article information corresponding to the we-media number respectively, the grade corresponding to the we-media number is obtained and then recommended, so that the we-media number recommendation method is more accurate, and the we-media number management systematicness is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method for recommending articles based on a self-media number level, a server, an electronic device and a storage medium. Background technique [0002] WeChat’s Kankan product recommends information to users in the form of information flow. All recommended information in the WeChat ecosystem has a corresponding account, that is, a self-media account. Existing technologies generally directly control the quality of recommended information such as articles, and do not control from the latitude of self-media accounts. Since the dimension of the self-media account is not considered, there may be articles that do not meet the needs of users when recommending articles. Contents of the invention [0003] The embodiment of the present application provides an article recommendation method, server, electronic device and storage medium based on the level of the We-Media numbe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 梁华盛颜强张国泽何文何宗虎裴德龙
Owner 深圳市雅阅科技有限公司
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