Method and mobile terminal for intelligently recommending application program

Abstract

The invention discloses a method and mobile terminal for intelligently recommending an application program. The method comprises the steps of recording time information, place information and name and use number information of the application program opened by a user, analyzing recorded information, obtaining an application program list of a time habit, an application program list of a place habit and an application program list of a comprehensive habit, and storing the three application program lists, when the function of intelligently recommending the application program is started by the mobile terminal, obtaining the actual position information and the actual time information of the mobile terminal, and according to the recommending type selected by the user, calling and displaying the stored application program, matched with the actual position information or the actual time information of the mobile terminal, of the stored corresponding application program lists. Due to the improvement of the method for intelligently recommending the application program, the mobile terminal can intelligently judge which application program the user possibly uses at certain places, the relevant application program is recommended, and the trouble for seeking for the required application program is removed.

Description

technical field [0001] The invention relates to the communication field, in particular to a method for intelligently recommending application programs and a mobile terminal. Background technique [0002] With the continuous development of communication technology, the storage space of smart mobile terminals is getting larger and larger, and there are various applications. It is indeed a headache to find the few applications that you often use among dozens or even hundreds of applications. things. [0003] However, for mobile terminals in the prior art, there are several ways to quickly find software: the first is folder classification, and the defect is that if the classification is rough, it will not work, and if the classification is too fine, it will be very troublesome to find; the second is Recently used applications have a limited number of defect records, which cannot achieve very good results; the third is search, the defect is that the user needs to input some rela...

AI Technical Summary

Problems solved by technology

[0003] However, for mobile terminals in the prior art, there are several ways to quickly find software: the first is folder classification, and the defect is that if the classification is rough, it will not work, and if the classification is too fine, it will be very troublesome to find; the second is Recently used applications have a limited number of defect records, which cannot achieve very good results; the third is search, the defect is that the user needs to input some related information, and the defect is that the user cannot use it if he does not remember it, so an intelligent recommendation is provided The method of the application is extremely important

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