User similarity determination method and information recommendation method
A technology of user similarity and determination method, applied in digital data information retrieval, data processing applications, instruments, etc., can solve problems such as inaccuracy of user similarity, and achieve the effect of improving accuracy
Active Publication Date: 2019-09-10
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology
[0004]
Based on this, it is necessary to propose a user similarity determination method, information recommendation method, computer equipment and storage media to solve the problem of inaccurate user similarity.
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[0027] 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 implementation manners described here are only used to explain the present application, and do not limit the protection scope of the present application.
[0028] The user similarity determination method provided by this application can be applied to such as figure 1 Shown in the application environment diagram. like figure 1 As shown, the terminal 10 communicates with the server 20 through a network. The terminal 10 can access the corresponding server 20 through the network to request corresponding data. The server 20 may determine the user similarity among the user identifiers, and may also push the second user identifiers among the user identifiers whose user similarity is greater than or equal to ...
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The invention discloses a user similarity determination method, an information recommendation method and computer equipment. The user similarity determination method comprises the steps of obtaining afirst user interest portrait of a first user identifier and a second user interest portrait of a second user identifier, wherein the first user interest portrait and the second user interest portraitare determined based on the service data of each service identifier associated with each user identifier and the interest type identifier corresponding to each service identifier, and each user identifier comprises the first user identifier and the second user identifier; obtaining common service data information under each interest type identifier between the first user identifier and the seconduser identifier; and determining the user similarity between the first user identifier and the second user identifier according to the first user interest portrait, the second user interest portraitand the common service data information. Based on the method, the accuracy of user similarity can be improved. The recommendation information is determined based on the user similarity, so that the accuracy of the recommendation information pushed for the first user identifier is improved.
Description
technical field [0001] The present application relates to the technical field of computer information processing, and in particular to a method for determining user similarity, an information recommendation method, computer equipment, and a storage medium. Background technique [0002] With the development of Internet technology, a large number of social applications have emerged. In social applications, users can establish friend relationships with other users, and users who are friends can conduct one-to-one communication. communication is facilitated. [0003] In order to facilitate the expansion of the user's scope of making friends, the social application may recommend friend identifiers for the user. In the friend recommendation method of social applications, it is first necessary to determine the candidate recommended friend ID. At present, the recommended friend ID can be determined according to the similarity between users. The similarity degree is inaccurate, whi...
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CPCG06Q50/01G06F16/951
Inventor 梁睿思宋立鑫
Owner TENCENT TECH (SHENZHEN) CO LTD