Application program classification method and device

Abstract

The embodiment of the invention provides an application program classification method and device. The method comprises the following steps of: obtaining the program feature value, which aims at each category of preset program features, of a target application program; according to the weight of each category of preset program features, carrying out weighted calculation on the obtained program feature values, and obtaining the target comprehensive program feature value of the target application program; according to the target comprehensive program feature value and the comprehensive program feature value of each application program of recorded program information in a first database, determining the similar application program of the target application program in each application program;and according to a category to which the similar application program belongs, determining the category of the target application program. When the embodiment of the invention is applied, the application programs can be automatically classified, dependency on the working experience of operation personnel is lowered, the working pressure of the operation personnel is lightened, and working efficiency is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for classifying application programs. Background technique [0002] Corresponding to the system program, the application program is a collection of various programming languages ​​that users can use and application programs compiled in various programming languages, and is divided into application program packages and user programs. An application package is a collection of programs designed to use a computer to solve a certain type of problem for use by multiple users. [0003] With the improvement of the performance of mobile terminals such as mobile phones and the rapid growth of the scale of downloadable applications, users will face more noise when selecting applications. Effectively classify and label large-scale applications to improve user experience. Experience has become an important technical means to occupy the market. At present, the classific...

AI Technical Summary

Problems solved by technology

At present, the classification of new applications is carried out by operators who review them one by one. This classification method mainly relies on the subjective judgment of operators and is greatly affected by the work experience of operators, which may lead to large errors in classification, and Operators are under high work pressure and low work efficiency

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