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Content recommendation method and device, server and storage medium

A content recommendation and content technology, applied in the computer field, can solve the problem of low user stickiness of application programs, and achieve the effect of improving effectiveness and increasing user stickiness

Pending Publication Date: 2021-11-02
SHENZHEN LUMIUNITED TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are many types of applications on the market, and users have many choices, which makes the user viscosity of applications not high

Method used

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  • Content recommendation method and device, server and storage medium
  • Content recommendation method and device, server and storage medium
  • Content recommendation method and device, server and storage medium

Examples

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Embodiment Construction

[0021] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0022] With the development of science and technology, electronic devices such as mobile terminals, computers or tablets have developed rapidly. Usually, various applications can be installed on electronic devices, and different applications can achieve different functions. People can use these applications to Programs to meet various needs in life or work.

[0023] With respect to application programs, since there are various types of application programs, the competition among various application program developers is increasingly fierce. User stickiness refers to the user's loyalty to a brand or product, and in this embodiment of the application, it can be understood...

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Abstract

The embodiment of the invention discloses a content recommendation method and device, a server and a storage medium. The method comprises the steps that user data, collected based on burying point information, in a target application program is obtained, the user data comprises operation data and / or a user source of the target application program used by a user at this time, and an exit probability is obtained according to the operation data and / or the user source; according to the method, the probability that the user exits the target application program can be predicted in real time according to the operation data of the user and / or the user source, and after the exit probability is obtained, the content is pushed according to the exit probability and the operation data. The probability that the user exits the target application program is obtained in real time through the operation data and / or the user source, content pushing is conducted in combination with the operation data and the exit probability of the user, when the user still uses the target application program, the content related to the operation of the user is pushed, the effectiveness of content recommendation is improved, the user is saved in time, and the user experience is improved. Therefore, the user viscosity is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and more specifically, to a content recommendation method, device, server and storage medium. Background technique [0002] With the development of science and technology, electronic devices such as mobile terminals, computers or tablets have developed rapidly. Usually, various applications can be installed on electronic devices, and different applications can achieve different functions. People can use these applications to Programs to meet various needs in life or work. [0003] However, there are various types of application programs on the market, and users have multiple choices, so that the user viscosity of the application programs is not high. Contents of the invention [0004] The embodiment of the present application proposes a content recommendation method, device, server and storage medium to solve the above problems. [0005] In the first aspect, the embodiment of the ...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 谢楠
Owner SHENZHEN LUMIUNITED TECH CO LTD
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