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Article recommendation method, device, readable storage medium and electronic equipment

A recommendation method and article technology, applied in the computer field, can solve problems such as poor accuracy and difficulty in satisfying users, and achieve the effects of reducing processing capacity, improving user experience, and improving accuracy and scope of application

Active Publication Date: 2020-11-13
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for a new system or a system with a small number of users, the accuracy of this recommendation method is poor, and it is difficult to meet the needs of users.

Method used

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  • Article recommendation method, device, readable storage medium and electronic equipment
  • Article recommendation method, device, readable storage medium and electronic equipment
  • Article recommendation method, device, readable storage medium and electronic equipment

Examples

Experimental program
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Embodiment Construction

[0062] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0063] figure 1 As shown, is a flow chart of an article recommendation method provided according to an embodiment of the present disclosure. Such as figure 1 As shown, the method may include:

[0064] In S11, a node in the article recommendation network that has a connection relationship with the target node is determined as a candidate node, wherein the article recommendation network is constructed based on multiple articles, and each node in the network corresponds to an article For articles, when there is a connection relationship between two nodes, it means that the articles corresponding to the two nodes are associated.

[0065] Wherein, the target n...

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Abstract

The invention relates to an article recommendation method, an apparatus, a readable storage medium and an electronic device. The method comprises the following steps: determining a node in an articlerecommendation network having a connection relationship with a target node as a candidate node; Determining, for any of the candidate nodes, a target recommendation value of an article corresponding to the candidate node according to a connection weight of the candidate node and the target node, and a common connection node between the candidate node and the target node; The article to be recommended is determined for the article corresponding to the target node according to the target recommendation value of the article corresponding to each candidate node. Therefore, the processing amount ofthe data can be effectively reduced. At the same time, the problem of low recommendation accuracy caused by low reading quantity of newly uploaded articles or low usage quantity of users can be avoided, the accuracy and application scope of the article recommendation are improved, the application requirement of users is met, and the user experience is improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular, to an article recommendation method, device, readable storage medium and electronic equipment. Background technique [0002] With the development of computer technology, the number of articles on the Internet is also increasing rapidly. Faced with such a huge number of articles, it often takes a long time for users to search for articles that meet their needs. When people are learning professional technology, they often search a large number of articles with similar knowledge points. At present, many article recommendation algorithms need to obtain a large number of reading records of other users, so as to use the reading records to recommend articles for similar users. However, for a new system or a system with a small number of users, the accuracy of this recommendation method is poor, and it is difficult to meet the needs of users. Contents of the invention [000...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/36
CPCG06F2216/03
Inventor 祖立金李健王伟光
Owner NEUSOFT CORP
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