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Article recommendation method and device, computer equipment and storage medium

A recommendation method and recommendation device technology, applied in the field of data processing, can solve problems such as poor article diversity

Active Publication Date: 2019-12-20
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since the articles recommended for users are mostly similar to the articles that users have read in history, the diversity of article recommendations will be poor.

Method used

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  • Article recommendation method and device, computer equipment and storage medium
  • Article recommendation method and device, computer equipment and storage medium
  • Article recommendation method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The article recommendation method in the embodiment of the present application is applicable to various article publishing platforms, so as to determine the articles to be recommended to different users in the article publishing platforms, and increase the diversity of articles recommended to users. For example, a news media platform recommends news articles for different users; a social platform or an official account connected to a social platform recommends articles to users, etc.

[0038] For ease of understanding, see figure 1 , which shows a schematic diagram of the structure of an article recommendation system of the present application.

[0039] Depend on figure 1 It can be seen that the article recommendation system may include: a computer device 101 and at least one article publishing server 102 .

[0040] Wherein, the article publishing server 102 is configured to publish multiple articles for users to read, and record articles read by different users at di...

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PUM

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Abstract

The invention provides an article recommendation method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining a historical reading set which comprises a plurality of historical articles read by a target user; for each historical article, respectively determining the attention degree of each to-be-determined historical article and the attentiondegree of the historical article according to the content characteristics of the historical article and the content characteristics of at least one to-be-determined historical article of which the reading moment is before the reading moment of the historical article in the historical reading set; selecting at least one recommended reference article with relatively low possibility of triggering article recommendation to the target user from the plurality of undetermined historical articles according to the attention degrees of the plurality of undetermined historical articles and the at leastone historical article; and determining at least one candidate recommended article to be recommended from the recommendable article set according to the content characteristics of each recommended reference article. According to the scheme, the diversity of recommending articles to the user can be improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to an article recommendation method, device, computer equipment and storage medium. Background technique [0002] With the continuous development of the network, the number of articles that users can read through various article publishing platforms on the Internet (such as various official accounts in instant messaging platforms, etc.) is also increasing. [0003] In order to attract users to read articles on the article publishing platform, the article publishing platform will recommend articles to users based on historical articles that users have read. However, when recommending articles for users at present, articles with similar content are recommended to users based on the user's reading history. For example, the content-based recommendation technology is based on the user's history of reading articles, determining articles that are similar in content t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F17/00G06N3/08G06F16/9535G06F16/337G06N3/044A61B5/165G06N5/022G06V40/20G06F18/2155
Inventor 刘毅胡澜涛张博夏锋林乐宇冯喆陈磊饶君刘书凯丘志杰孙振龙王良栋
Owner TENCENT TECH (SHENZHEN) CO LTD