Application recommendation method, system and server

Abstract

The invention provides an application program recommending method, system and server. The application program recommending method includes the steps of receiving a recommending request of an application program of a first terminal, obtaining position information and request time of the first terminal according to the recommending request of the application program, obtaining region information which the position information of the first terminal belongs to and the time period which the request time belongs to, obtaining at least one application program of the region information in the activated time period, and pushing information of the at least one application program to the first terminal. The application program recommending method, system and server can be used in the technical field of terminals.

Description

technical field [0001] The present invention relates to the technical field of terminals, in particular to an application program recommendation method, system and server. Background technique [0002] With the rapid development of mobile terminal intelligence, applications with various functions are becoming more and more diversified. Users are more and more inclined to install different applications on mobile terminals to assist in business, entertainment, life, etc. Various activities. Since there are a variety of applications in the application application market with varying quality, it is difficult for users to quickly find a high-quality application suitable for them. [0003] At present, mobile terminal users mainly select and download applications in the following ways: the first is to browse application information in the application market according to classification and ranking, which requires users to browse a large amount of information, and the efficiency is ...

AI Technical Summary

Problems solved by technology

Due to the wide variety of applications in the application market and the uneven quality, it is difficult for users to quickly find high-quality applications that suit them

[0003] At present, mobile terminal users mainly select and download applications in the following ways: the first is to browse application information in the application market according to classification and ranking, which requires users to browse a large amount of information, and the efficiency is low; The second type is to actively search for applications with known names, which require users to know the name of the application in advance to search; the third type is that some installed applications will send applications to users through application sidebar advertisements, pop-up windows, etc. during operation. Users recommend related applications (such as other applications of the same manufacturer or application relationship chains), and the recommended applications are not closely related to the user's living habits, and this method is likely to arouse user disgust; the fourth is to manage applications through mobile terminal applications The program recommends applications, but this method usually only recommends high-quality applications and limited-time free applications, and there are often cases where users download but do not use them

[0004] Therefore, the existing application acquisition and recommendation methods are generally difficult to meet the individual needs of users, the recommendation effect is not good, and the user experience is poor

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