App recommendation method and apparatus

An application program and application recommendation technology, applied in the field of information processing, can solve the problems of application program developers losing, users missing downloading and using, etc., and achieve the effect of optimizing the recommendation technology

Active Publication Date: 2021-01-26
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, as the number and types of applications in the application store increase, only a very small number of applications become popular applications and are displayed in the recommendation interface of the application store, while most new applications have no chance to be displayed through the recommendation interface at all. For users, these new applications may be some applications with relatively high use value for users. The existing application recommendation technology will not only make users miss the opportunity to download and use these applications, but also make applications Developers lose the opportunity to quickly expose these applications

Method used

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  • App recommendation method and apparatus
  • App recommendation method and apparatus
  • App recommendation method and apparatus

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0021] figure 1 It is a flow chart of an application recommendation method provided by Embodiment 1 of the present invention. The method in this embodiment can be executed by an application recommendation device, which can be implemented in hardware and / or software, and can generally be integrated In the server for providing the application program recommendation service, it is used in cooperation with the application program recommendation client (for example, "XX application store" or "XX application market", etc.).

[0022] Such as figure 1 As shown, the application recommendation method provided by the embodiment of the present invention includes:

[0023] S101. Set the initial reputation value of each application program within the recommended range, and update the reputation value of each application program within the recommended range in real time based on the use feedback information.

[0024] Specifically, the initial reputation value may be a numerical value or a ...

Embodiment 2

[0039] figure 2 It is a flow chart of an application program recommendation method provided by Embodiment 2 of the present invention. In this embodiment, on the basis of the above-mentioned embodiments, it is preferable to update each application program in real time based on usage feedback information within the recommended range. The specific optimization of the reputation value is: according to the formula: N=k(t)*A+B, real-time update the reputation value N of each of the applications within the recommended range; where k(t) is the release time of the application A monotonically decreasing function of ; A is the initial reputation value of the application; B is the real-time reputation value jointly determined by the download amount of the application program, the evaluation grade value of the application program and the startup frequency of the application program.

[0040] Correspondingly, such as figure 2 As shown, the application recommendation method provided in this...

Embodiment 3

[0053] image 3 The flow chart of the application program recommendation method provided by Embodiment 3 of the present invention. On the basis of the above-mentioned embodiments, this embodiment preferably further includes: before setting the initial reputation value of each application program within the recommended range: Define the classification attribute and set the recommended range for each application.

[0054] Correspondingly, such as image 3 As shown, the application recommendation method provided in this embodiment specifically includes:

[0055] S301. Set a recommendation range for each application program according to the set classification attribute. Wherein, the set classification attribute includes: geographical attribute, age attribute or occupational attribute.

[0056] The recommended range of the application program can be set according to one of geographic attributes, age attributes, or occupational attributes, or any combination thereof. For example,...

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Abstract

The present invention discloses a method and device for recommending application programs. The method includes: setting the initial reputation value of each application program within the recommended range, and updating the reputation value of each application program within the recommended range in real time based on use feedback information ; Receive the application recommendation request sent by the user terminal, and determine the application recommendation range corresponding to the application recommendation request; generate an application recommendation list according to the reputation value of the application program within the application recommendation range, and send the application recommendation list to the user terminal . The technical solution provided by the embodiment of the present invention enables some new application programs to be recommended within the corresponding recommendation range according to their reputation value, which solves the technical problem in the prior art that new application programs have no chance to be displayed to users through the recommendation interface, and optimizes It improves the existing application recommendation technology and meets people's growing demand for personalized and convenient application recommendation.

Description

technical field [0001] Embodiments of the present invention relate to information processing technologies, and in particular, to an application program recommendation method and device. Background technique [0002] With the development of information technology, the application store, as a new value-added service, provides users with a convenient and fast e-commerce platform. Through the application store on the mobile terminal, users can easily purchase and download applications and other mobile value-added services. Business products bring a good experience to users. [0003] However, as the number and types of applications in the application store increase, only a very small number of applications become popular applications and are displayed in the recommendation interface of the application store, while most new applications have no chance to be displayed through the recommendation interface at all. For users, these new applications may be some applications with relat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9032
CPCG06F16/90324
Inventor 刘俊启
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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