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Parallel article recommendation method, device and equipment and storage medium

A recommendation method and a technology of a recommendation device, which are applied in the information field and can solve problems such as insufficient recommendation algorithms

Inactive Publication Date: 2019-07-05
厦门铠甲网络股份有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] In view of this, the purpose of the embodiments of the present invention is to provide a parallel article recommendation method, device, equipment and storage medium to improve the shortage of single article recommendation algorithms in the prior art

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  • Parallel article recommendation method, device and equipment and storage medium
  • Parallel article recommendation method, device and equipment and storage medium
  • Parallel article recommendation method, device and equipment and storage medium

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0041] It should be noted that like numerals and let...

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Abstract

The invention provides a parallel article recommendation method, device and equipment and a storage medium, and relates to the technical field of information. The method comprises the steps of constructing a user structured model according to the historical browsed articles of the user; obtaining at least two article recommendation algorithms corresponding to the user according to the user structured model and at least two preset recommendation algorithms; obtaining a recommended article list corresponding to each article recommendation algorithm from the article to be recommended through at least two article recommendation algorithms; and according to the preset weight values of the at least two article recommendation algorithms, selecting a predetermined article from each article recommendation list to mix and generate a final recommended article list corresponding to the user. According to the present invention, by adopting the parallel hybrid parallel article recommendation method,it is guaranteed that the recommended article data set has the recommendation advantages of all article recommendation algorithms, the defect of single item recommendation is overcome, and the recommended article data is more accurate and effective.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a parallel article recommendation method, device, equipment and storage medium. Background technique [0002] With the rapid development of the Internet, people need to face a large amount of information every day. In order to allow users to accurately read the articles they are interested in, thereby improving user stickiness, recommendation system services are gradually being applied to information websites / mobile applications . The article recommendation system can calculate article information for website / mobile app users based on the user data and article content of information websites / mobile apps, so that users can directly view the article information they are interested in without being disturbed by other redundant information . The current article recommendation system mainly adopts content-based recommendation algorithm or collaborative filtering algorit...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06N20/00
Inventor 陈滨梁晓斌
Owner 厦门铠甲网络股份有限公司
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