An information recommendation method, device, electronic equipment and storage medium
An information recommendation and information recommendation technology, applied in the computer field, can solve the problems of increasing the difficulty of personalized information recommendation, missing interesting information, etc., to achieve the effect of improving attractiveness and reducing time cost
Active Publication Date: 2021-08-06
武汉卓尔数字传媒科技有限公司
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Problems solved by technology
Massive information is indeed a valuable asset for various information platforms, but at the same time, information overload also increases the difficulty for information platforms to recommend personalized information to users. Users are overwhelmed by all kinds of news when using information platforms. It is likely to miss the information that is really interesting; therefore, how to personalize and recommend information that meets the user's interests for each user of the information platform, and how to make users truly feel the humanity and practicality of the information platform are worth studying question
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[0060] In order to understand the characteristics and technical contents of the embodiments of the present application in more detail, the implementation of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. The attached drawings are only for reference and description, and are not intended to limit the embodiments of the present application.
[0061] At present, with the development of Internet technology, users can publish and browse information on various information platforms. Information recommendation is performed, so that the user can receive information of interest to the user recommended by the information platform in a timely manner when using the information platform.
[0062] In one solution, for the information platform of Weibo, by obtaining the first state perception data of the terminal; classifying the first state perception data according to the data category model, and obtaining the class...
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The present application discloses an information recommendation method, device, electronic equipment, and storage medium, wherein the method includes: determining the degree of interest of each of the multiple users in at least one piece of information to be recommended; based on the degree of interest dividing the plurality of users into at least one user group; based on the user group to which the target user belongs, the historical evaluation information of the target user, and the target user's evaluation of each of the at least one information to be recommended The second score is to determine the first score of the target user for each of the information to be recommended in the at least one piece of information to be recommended; wherein, the target user is one of the plurality of users; based on the target user Target information to be recommended is determined for the first score of each piece of information to be recommended in the at least one piece of information to be recommended.
Description
technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to an information recommendation method, device, electronic equipment, and storage medium. Background technique [0002] With the development of the Internet, the convenience of information platforms such as various websites and applications enables users to publish and obtain information anytime and anywhere, which also leads to information overload on websites and applications. Massive information is indeed a valuable asset for various information platforms, but at the same time, information overload also increases the difficulty for information platforms to recommend personalized information to users. Users are overwhelmed by all kinds of news when using information platforms. It is likely to miss the information that is really interesting; therefore, how to personalize and recommend information that meets the user's interests for each user of th...
Claims
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IPC IPC(8): G06F16/9535G06F16/906G06F16/36G06F40/295
CPCG06F16/367G06F16/906G06F16/9535G06F40/295
Inventor 陈程王贺石奕
Owner 武汉卓尔数字传媒科技有限公司