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Content-based article recommendation method and system

A recommendation method and article technology, applied in the field of data processing, can solve problems such as lack of article evaluation opinions

Pending Publication Date: 2020-01-24
上海异势信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The articles recommended by the existing technology are mainly based on keywords and lack of evaluation opinions on the articles themselves. To plug this loophole, a mechanism for evaluating the content of the article itself is urgently needed

Method used

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  • Content-based article recommendation method and system
  • Content-based article recommendation method and system
  • Content-based article recommendation method and system

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Embodiment Construction

[0038] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0039] The present invention is mainly applied to app applications based on content recommendation algorithms. In the process of article recommendation, some articles will spread vulgar articles, violate national laws and regulations, and challenge social moral articles. These articles must be resolutely resisted. If only manual review is performed, the review speed will not only be slow, but also the review results will fluctuate greatly. Therefore, an effective mechanism is needed to resist it.

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Abstract

The invention provides a content-based article recommendation method and system. The content-based article recommendation method comprises the steps: carrying out word segmentation of the content of an article, removing useless phrases, setting the weights of remaining phrases, enabling a plurality of remaining phrases with the highest weights to serve as label phrases of the article, and obtaining an article label vector; judging the correlation between the label word groups of the article according to historical records, and if the correlation is lower than a preset threshold value, not recommending the article; integrating the label phrases of all the articles effectively read by the user, setting the weights of the label phrases according to time, and obtaining a user label vector corresponding to the user when the closer the reading time is, the higher the weight of the label phrases of the articles is, and the longer the reading time is, the higher the weight of the label phrasesof the articles is; and according to the user label vector, recommending the article of which the label word group and the user label vector hit rate meet the requirements to the user. According to the content-based article recommendation method, the contents of the articles can be well combined, and low-quality articles can be filtered.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a content-based article recommendation method and system for omitting specified content. Background technique [0002] The recommendation algorithm is an algorithm in computer science. Through some mathematical algorithms, it can infer what the user may like, and then recommend it to the user. [0003] Content-based recommendation (Content-based Recommendation) is the continuation and development of information filtering technology. It is based on the content information of the project to make recommendations, and does not need to rely on the user's evaluation of the project, and more needs to use machines. The learning method obtains the user's interest profile from the instance of the character description about the content. Patent CN108460039A discloses a method and device for providing recommended content in target services. The message entered by the user c...

Claims

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Application Information

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IPC IPC(8): G06F16/335G06F16/33G06F16/35
CPCG06F16/335G06F16/3335G06F16/3334G06F16/35Y02D10/00
Inventor 王苏蔡伟杰陈媛媛
Owner 上海异势信息科技有限公司