Method, device and terminal for obtaining application similarity

Abstract

The present invention provides a method, device and terminal for obtaining an application similarity, which relates to the field of communications and is invented to solve the problem of the similarity of an application determined according to the static attribute of the application in the prior art; the embodiments of the present invention provide The method for obtaining application similarity includes: obtaining dynamic attribute information of multiple applications to be installed; and obtaining similarity between any one of the multiple applications to be installed and the remaining applications to be installed according to the dynamic attribute information. According to the above solution of the present invention, by judging and evaluating the dynamic attribute information of the application to be installed, the similarity between any one of the multiple installed applications and the other applications to be installed can be determined, so that the static attribute similarity is low, but the dynamic attribute is relatively low. Applications with high attribute similarity and similar functions are determined, the success rate of detection of application similarity is improved, and applications with duplicate functions are prevented from repeatedly occupying the hard disk space of the user equipment.

Description

technical field [0001] The present invention relates to the field of application processing, in particular to a method, device and terminal for obtaining application similarity. Background technique [0002] With the popularization of computers and smart phones, many applications are delivered to users through various channels such as application markets and non-application markets. Some software can only be simply classified by the keywords reported by the application, but it is inevitable that the names are different. However, applications with the same or similar functions are missing or misclassified. [0003] As for the end users, because they do not have the time or ability to screen and receive warnings in advance, they often install some application software with similar functions. It not only causes a waste of space on the hard disk of the user equipment, but also wastes valuable usage time due to repeated use of the same function. [0004] In the prior art, the s...

AI Technical Summary

Problems solved by technology

[0002] With the popularization of computers and smart phones, many applications are delivered to users through various channels such as application markets and non-application markets. Some software can only be simply classified by the keywords reported by the application, but it is inevitable that the names are different. However, applications with the same or similar functions are missing or misclassified

[0003] For end users, because they do not have the time or ability to identify and receive warnings in advance, they often install some application software with similar functions.

It not only wastes the hard disk space of the user equipment, but also wastes valuable usage time due to repeated use of the same function

[0004] In the prior art, the similarity evaluation is usually performed on the application's static attributes, resource files, and calling system functions, which can only partially solve the problem of application similarity judgment, and the judgment is not comprehensive and accurate enough

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