Application recommendation method, client end, server and system

An application recommendation and server technology, applied in the field of Internet applications, can solve the problems of not being able to effectively meet the actual needs of users, not being able to actually increase the number of users downloading applications, and affecting user experience, etc.

Inactive Publication Date: 2017-09-01
ALIBABA (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, recommending applications to users from the perspective of the promotion revenue obtained from application operators cannot effectively meet the actual needs of users for applications, so that it cannot actually increase the number of downloads of applications by users, but will affect user usage. App store user experience, leading to user churn

Method used

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  • Application recommendation method, client end, server and system
  • Application recommendation method, client end, server and system
  • Application recommendation method, client end, server and system

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0086]

[0087] The general idea of ​​this embodiment is to provide an application recommendation method, which selects an application preference that meets the target user's preferences from multiple candidate applications that can be provided on an application platform (such as an application store) that provides application recommendation, search, and download services. Apps that are in demand and can obtain higher returns are recommended to target users. While improving the user experience of the app platform, the revenue of the app platform is maximized.

[0088] The application recommendation method provided in this embodiment, such as figure 2 shown, including:

[0089] Step S2100, acquiring the target user's application preference index for the candidate application and the application data of the candidate application;

[0090] Specifically, the target user's application preference index for the candidate application is used to represent the target user's preferen...

no. 2 example

[0162]

[0163] In this embodiment, an application recommendation method is also provided, such as Image 6 shown, including:

[0164] Step S6100, triggering the acquisition of the application recommendation list of the target user, the application recommendation list is acquired as in the application recommendation method provided in the first embodiment;

[0165] Wherein, triggering to obtain the application recommendation list of the target user may be triggered when the target user opens a device implementing the method, such as a client of an application store;

[0166] Step S6200, presenting the application recommendation list to the target user.

[0167] Through the application recommendation method in this embodiment, by triggering the acquisition of the application recommendation list and displaying it to the target user, the application is recommended to the target user, and the recommended application can be obtained through the application recommendation method ...

no. 3 example

[0179] In this embodiment, an application recommendation system is provided, including the server 5000 provided in the first embodiment and the client 7000 provided in the second embodiment. In a specific example, the application recommendation system can be an application store, including such as figure 1 A server 1100 and a client 1200 are shown.

[0180] The following will combine Figure 8 The application recommendation method implemented by the application recommendation system of this embodiment is described, such as Figure 8 As shown, the application recommendation system includes a client 7000 and a server 5000, and the application recommendation method includes:

[0181] Step S801, the client 7000 used by the target user u is opened, which triggers obtaining the application recommendation list from the server 7000;

[0182] In step S802, the server 5000 judges whether the current expected profit coefficients of all candidate applications have been obtained, and if...

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PUM

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Abstract

The present invention discloses an application recommendation method, a client end, a server and an application recommendation system. The application recommendation method comprises the following steps that: the application preference indexes of a target user for candidate applications and the application data of the candidate applications are obtained; the prospective benefit coefficients of the candidate applications are obtained according to the application preference indexes of the target user for the candidate applications and the application data of the candidate applications; and a predetermined number of recommended applications are selected from the plurality of candidate applications based on the obtained prospective benefit coefficients of the plurality of candidate applications, so that an application recommendation list can be generated and is displayed for the target user. With the application recommendation method, the client end, the server and the application recommendation system of the present invention adopted, an application platform providing application recommendation service can satisfy the requirements of user experience and maximize revenues.

Description

technical field [0001] The present invention relates to the technical field of Internet applications, and more specifically, to an application recommendation method, client, server and system. Background technique [0002] With the rapid development of Internet technology and the popularity of mobile and intelligent electronic devices, more and more users are used to downloading and installing applications through electronic devices such as mobile phones and tablet devices to obtain the services provided by the application. . An application platform that recommends applications for users and provides downloads, such as an application store, emerges as the times require. [0003] As an application platform that recommends applications to users, provides users with the ability to search for applications, and download applications for free, the operation mode of the application store is usually to increase the download volume of applications by recommending applications to use...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
CPCG06F16/9535G06Q30/0282
Inventor 潘岸腾
Owner ALIBABA (CHINA) CO LTD
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