Clustering method and device for application

A clustering method and application identification technology, applied in the Internet field, can solve the problems of low quality of content information, increase user search time, waste user time, etc., and achieve the effects of improving computing efficiency, reducing search time, and improving accuracy.

Inactive Publication Date: 2017-05-31
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method needs to process a large amount of application-related text information, which has a large amount of calculation and low efficiency. Moreover, when the quality of application content information is not high, such as a large amount of spam information in the application description, the similarity of clustering is relatively high. The application is not what the user really needs, which increases the user's search time and wastes the user's time

Method used

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  • Clustering method and device for application
  • Clustering method and device for application
  • Clustering method and device for application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Based on the foregoing embodiments, this embodiment provides an application clustering method, which is applied to a terminal. The functions implemented by the application clustering method can be implemented by calling the program code from the processor in the terminal. Of course, the program code can be saved In the computer storage medium, it can be seen that the terminal includes at least a processor and a storage medium. In practical applications, the application clustering method can be applied to various application management services where applications need to be clustered according to user behavior data to obtain similar applications, such as application recommendations in an application store.

[0055] So, figure 2 It is a schematic flow chart of the application clustering method in Embodiment 1 of the present invention, see figure 2 As shown, the applied clustering method includes:

[0056] S201: Obtain user behavior data;

[0057] Wherein, the user be...

Embodiment 2

[0088] Based on the above-mentioned embodiments, this embodiment provides an application recommendation method, which can be applied to the application service business in the terminal. For example, when a user searches for a desired application in an application store, the functions implemented by the application recommendation method can be implemented by The processor in the terminal invokes the program code to implement, of course, the program code can be stored in a computer storage medium, it can be seen that the terminal at least includes a processor and a storage medium.

[0089] So, image 3 For a schematic flow chart of the application recommendation method in Embodiment 2 of the present invention, see image 3 As shown, the recommended methods for this application include:

[0090] S301: Obtain an application query instruction;

[0091] In practical applications, when users need to search for the desired application in the application store, they can Figure 4 En...

Embodiment 3

[0102] Based on the same inventive concept, this embodiment provides an application clustering apparatus. Figure 6 It is a schematic structural diagram of the video data processing device in Embodiment 3 of the present invention, see Figure 6 As shown, the application cluster 60 includes: an acquisition unit 601, a calculation unit 602, and a determination unit 603, wherein the acquisition unit 601 is used to acquire user behavior data, wherein the user behavior data is generated by the user's operation on the application; the calculation The unit 602 is configured to calculate the similarity between any two applications among the N applications based on the user behavior data, where N is an integer greater than 1; the determination unit 603 is configured to calculate the similarity between any two applications among the N applications. The degree of similarity determines at least one similar application corresponding to each application according to preset rules.

[0103] ...

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Abstract

An embodiment of the invention discloses a clustering method for an application. The method comprises the following steps of obtaining user behavior data, wherein the user behavior data are generated by the operation of a user on the application; based on the user behavior data, calculating similarity between every two applications in N applications, wherein N is an integer more than 1; according to the similarity, in accordance with a preset rule, determining at least one similar application corresponding to each application. The embodiment of the invention also discloses a clustering device for the application.

Description

technical field [0001] The invention relates to Internet technology, in particular to an application clustering method and device. Background technique [0002] With the development of the Internet and the popularity of smart phones, smart phones have become a necessity in people's daily life. At the same time, in order to provide users with better services, various applications have emerged one after another, and various smart phone manufacturers have also established their own application stores to integrate resources of various applications. At present, when a user uses an application store to search for a target application that he or she wants to use, the smart phone manufacturer generally lists multiple applications related to the target application in the search list of the application store for the user to choose. [0003] In the prior art, application content information is usually used, mainly including: application name, application description, application type,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/951G06F18/23
Inventor 姬晨陈亚堂张淑燕
Owner NUBIA TECHNOLOGY CO LTD
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