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Article recommendation method and device, terminal equipment and storage medium

A recommendation method and article technology, applied in the field of artificial intelligence, can solve problems such as low accuracy of article recommendation

Pending Publication Date: 2021-02-05
CHINA PING AN LIFE INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides an article recommendation method, device, terminal equipment, and storage medium to solve the problem of random selection of highly interesting articles and sentiments in the article recommendation process of the prior art. Sorting and recommendation among articles with low degree of interest, resulting in low accuracy of article recommendation

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

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Embodiment Construction

[0044] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0045] The article recommendation method involved in the embodiment of the present application may be executed by a control device or a terminal (hereinafter referred to as "mobile terminal").

[0046] see figure 1 , figure 1 It shows an implementation flowchart of an article recommendation method provided by the embodiment of the present application, including:

[0047] Step S10, determining the articles clicked by the user within a preset time, and calculating the tag score of the user according to the article tags of the articles.

[0048] Among them, the tag score is ...

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Abstract

The invention is suitable for the technical field of artificial intelligence, and provides an article recommendation method and device, terminal equipment and a storage medium, and the method comprises the steps: determining articles clicked by users in preset time, and calculating the label scores of the users according to the article labels of the articles; constructing article click labels of the users according to the label scores; obtaining article labels of different to-be-recommended articles, and calculating article interest of the users to the different to-be-recommended articles according to the article labels and the article click labels; sorting the to-be-recommended articles according to the article interestingness, and recommending the articles to the user according to the sorted to-be-recommended articles. According to the article recommendation method and device, the interest of the users to the corresponding to-be-recommended articles is represented based on the article interest, so that the to-be-recommended articles with different interest of the user can be distinguished, the to-be-recommended articles are sorted according to the article interest and the articlerecommendation accuracy is improved. In addition, the invention also relates to a blockchain technology.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to an article recommendation method, device, terminal equipment and storage medium. Background technique [0002] Article recommendation is a field of artificial intelligence that is relatively close to the business. In the process of developing new scenarios or starting a new enterprise, it is often encountered that the data side is inconsistent with the iterative rhythm of the recommendation strategy. The commonly used CTR (click-through rate) predictor The estimation model will not be able to complete the article recommendation due to the lack of exposure click data. Therefore, the article recommendation method based on Jaccard similarity (jaccard) came into being. Tag similarity between the articles to be recommended in the recommendation data, and recommend articles to users based on the tag similarity, so that there is no need to recommend articles based on exp...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/335G06F16/35G06N3/04G06N3/08
CPCG06F16/9535G06F16/335G06F16/35G06N3/08G06N3/045
Inventor 老焯楠
Owner CHINA PING AN LIFE INSURANCE CO LTD