Method and device for recommending text content
A content recommendation and text technology, applied in the computer field, can solve the problems of low accuracy of content recommendation and low degree of adaptation with individual users, and achieve the effect of improving accuracy
Active Publication Date: 2020-07-03
深圳市雅阅科技有限公司
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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's identity, group he belongs to, and personal preferences. Interested content, but only the content that all users may be most interested in based on the statistical results can be recommended. Therefore, the recommended content is not well suited to individual users, resulting in low accuracy of content recommendation
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[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0027] In order to solve the technical problem that the content recommended by the server of the information application to the user is not highly compatible with the individual user, resulting in low accuracy of content recommendation, in one embodiment, a text content recommendation method is proposed. The execution of this method can rely on a computer program. The computer program can be information applications (such as newspaper app...
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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] In traditional technology, news, information, shopping assistants and other applications usually need to push text-type data content such as news, information, and discount messages to the terminal, so as to facilitate users to obtain the latest news or business information in time. However, the number of news information or business information stored on the server is large, and it is necessary to select an appropriate consultation and recommend it to users. [0003] In traditional technology, in order to recommend news information or business information that is more important or that users may pay more attention to, the method of heat statistics is usually used, that is, count the number of times a certain news information is recommended to the user N1 and the news information by the user The ...
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IPC IPC(8): G06F16/9535G06F16/958G06F16/906
Inventor 尹程果
Owner 深圳市雅阅科技有限公司