A text content recommendation method and device

A content recommendation and text technology, applied in the computer field, can solve the problems of low accuracy of content recommendation and low adaptability to individual users, and achieve the effect of improving accuracy

Active Publication Date: 2016-10-19
深圳市雅阅科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] However, the content recommendation method in the above-mentioned traditional technology is based on the popularity of the information calculated by N1 and N2 as the overall popularity of the information, and cannot recommend to a specific user the most popular information based on factors such as the user'...

Method used

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  • A text content recommendation method and device
  • A text content recommendation method and device
  • A text content recommendation method and device

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Embodiment Construction

[0026] 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. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0027] In order to solve the above-mentioned technical problem that the content recommended by the server of the information application to the user does not have a high degree of adaptation to the individual user, resulting in low accuracy of content recommendation, in one embodiment, a method for recommending text content is proposed. , the execution of the method may depend on a computer program, and the computer program may be an information application (for exa...

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Abstract

The embodiments of the invention provide a text content recommendation method. The method comprises the steps of acquiring user identifiers and user attribute tag values corresponding to the user identifiers; acquiring text content and extracting content attribute tag values of the text content; traversing the content attribute tag values, and for the traversed content attribute tag values, acquiring the total visit rate of the content attribute tag values and the user visit ratio and the user recommendation ratio corresponding to each user attribute tag value, and generating tag popularity degree values of the traversed content attribute tag values; generating content popularity degree values of the text content with respect to the user identifiers by calculating the average values of the tag popularity degree values of the content attribute tag values corresponding to the text content, selecting text content according to the content popularity degree values and transmitting the links of the selected text content to terminals corresponding to the user identifiers. The invention also provides a text content recommendation device. According to the invention, the recommendation accuracy is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for recommending text content. Background technique [0002] Applications such as news, information, and shopping assistants in traditional technologies usually need to push text-type data content such as news, information, and discount messages to the terminal, so that users can obtain the latest news or business information in a timely manner. However, there is a large amount of news information or business information stored on the server, and it is necessary to select a suitable consultation and recommend it to the user. [0003] In traditional technology, in order to recommend news or business information that is more important or that users may pay more attention to to users, the popularity statistics method is usually used, that is, counting the number N1 of times a piece of news information is recommended to users and the number of times this...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 尹程果
Owner 深圳市雅阅科技有限公司
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