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Application recommending method and device

A technology for application recommendation and application acquisition, applied in the field of application recommendation methods and devices, can solve the problems of low pertinence and effectiveness of application recommendation, and achieve the effect of improving application recommendation efficiency, improving pertinence and effectiveness, and reducing user operations

Inactive Publication Date: 2015-07-01
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] In the current application recommendation service, the behavioral characteristics of the user's application are not combined, resulting in the application recommended to the user cannot meet the user's real needs, and the user needs to search or search repeatedly through the client to find the application that meets the demand. Recommendations are less targeted and less effective

Method used

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  • Application recommending method and device
  • Application recommending method and device
  • Application recommending method and device

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0059] The embodiment of the present invention provides an application recommendation method, please refer to figure 1 , which is a schematic flowchart of the application recommendation method provided by the embodiment of the present invention. As shown in the figure, the method includes the following steps:

[0060]S101. Acquire user behavior characteristic data of an application.

[0061] S102. Obtain an application to be recommended from candidate applications.

[0062] S103. Rank the applications to be recommended according to the user behavior characteristic data of the applications, so as to obtain a ranking result.

[0063] S104. Output the sorting result.

[0064] It should be noted that the terminals involved in the embodiments of the present invention may include but not limited to personal computers (Personal Computer, PC), personal digital assistants (Personal Digital Assistant, PDA), wireless handheld devices, tablet computers (Tablet Computer), Mobile phones,...

Embodiment 2

[0068] Based on the application recommendation method provided in the first embodiment above, the embodiment of the present invention specifically describes the method of S101. This step can specifically include:

[0069] To illustrate, in the embodiment of the present invention, the method for obtaining user behavior characteristic data of an application may include: when an application request is received, generating the user behavior characteristic data of the application according to pre-acquired user behavior information for the application.

[0070] For example, when the user opens the client in the terminal, it may be considered that the client receives an application request.

[0071] For example, in the embodiment of the present invention, the client may be a client with an application recommendation function, such as a mobile phone assistant or an application store.

[0072] Preferably, the user behavior characteristic data of the application may include but not lim...

Embodiment 3

[0101]Based on the application recommendation method provided in the first embodiment and the second embodiment, the embodiment of the present invention specifically describes the method of S102. This step can specifically include:

[0102] In this embodiment, the method for obtaining the application to be recommended from the candidate applications is related to the execution subject.

[0103] For example, if the executor is a server on the network side, the client needs to use the obtained application user behavior characteristic data as a parameter, and send the parameter to the executor through the application request, so that the executor can , first obtain the application to be recommended from the candidate applications, and then the execution subject executes S103.

[0104] Or, for another example, if the executor is a server on the network side, the client needs to send an application request to the executor. The application request does not carry the user behavior c...

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Abstract

The embodiment of the invention provides an application recommending method and device. On one hand, through obtaining user behavior feature data of applications, the applications to be recommended are obtained from the candidate applications, and then according to the user behavior feature data of the applications, the applications to be recommended are sorted so that a sorting result can be obtained and output. In this way, according to the technical scheme, the pertinence and effectiveness of application recommending can be improved.

Description

【Technical field】 [0001] The invention relates to the technical field of Internet applications, in particular to an application recommendation method and device. 【Background technique】 [0002] With the popularization of the terminal, the intelligence of the terminal and the rapid development of Internet technology, the terminal integrates more and more functions, so that the operating system of the terminal includes various applications. At present, most users' free time is occupied by these applications, and more and more users use various services provided by the Internet through application clients on terminals. [0003] In the current application recommendation service, the behavioral characteristics of the user's application are not combined, resulting in the application recommended to the user cannot meet the user's real needs, and the user needs to search or search repeatedly through the client to find the application that meets the demand. Recommendations are less ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 韩超刘清彪陈杨昆
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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