Application recommendation method, application recommendation device and server

Abstract

The invention is applicable to the technical field of internet application, and in particular relates to an application recommendation method, an application recommendation device and a server. The application recommendation method disclosed by the invention comprises the steps of: obtaining pre-set electronic payment information and application installation information in a geographical location area, and, according to the electronic payment information, determining at least one application type, the payment frequency of which is relatively high; and then, according to the application installation information, determining at least one application, the installation frequency of which is relatively high, as a recommendation application from each application type in the determined application type. According to the application recommendation method, the application recommendation device and the server disclosed by the invention, the electronic payment frequency of the application type of the finally determined recommendation application in the corresponding geographical location area is relatively high; the installation frequency of the finally determined recommendation application in the corresponding application type is also relatively high; requirements of users having intention to the corresponding geographical location area can be satisfied to a much greater extent; and thus, the application recommendation pertinence and effectiveness can be improved.

Description

technical field [0001] The invention belongs to the technical field of Internet applications, and in particular relates to an application program recommendation method, an application program recommendation device and a server. Background technique [0002] With the rapid development of Internet technology and the popularization of smart terminals, users increasingly rely on various applications to enjoy the convenience brought by the Internet to users' lives. However, at present, various applications of various categories are flooding the entire Internet , the existing application program recommendation method is generally to recommend by sharing with friends or recommending application programs with high download volume to users by the application market. However, the method of sharing with friends requires users to communicate with friends, which is inefficient, and the applications with high download volume recommended by the application market are aimed at the download ...

AI Technical Summary

Problems solved by technology

However, the method of sharing with friends requires users to communicate with friends, which is inefficient, and the applications with high download volume recommended by the application market are aimed at the download volume of users across the country. The relatively large user range is not suitable for the regional needs of users, especially some Apps suitable for local characteristics in popular tourist cities are difficult to get recommendations from the app market

Therefore, the current application recommendation method is not very pertinent and effective

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