Software and/or software information pushing method, system, acquisition device, software shop service system and mobile terminal

Abstract

The invention provides a software and / or software information pushing method, comprising the following steps of: 102, associatively storing software use information of a user and an identifier of the user into a database; 104, determining a user group of the user according to the attribute of the user logging in a software shop service end; and 106, searching and counting the software use information of each user in the database according to the identifier of each user in the user group, and pushing the software and / or the software information to the logged user according to a statistical result. According to the provided software and / or software information pushing method, a recommendation principle according to a software category per se or a user category is discarded, the user group for the user is established according to the attribute of the user to form the pushing information to push the software and / or the software information to the user. The invention also provides a software and / or software information pushing system, a software shop service system comprising the system, a software and / or software information acquisition device and a mobile terminal with the device.

Description

technical field [0001] The present invention relates to a method for pushing software and / or software information, and more specifically to a method for pushing software according to the user group of the user, a system for pushing software and / or software information, an acquisition device, a software store service system, and a mobile terminal. Background technique [0002] At present, the server-side software store usually classifies the software it owns, counts the downloads of different types of software, and ranks them according to them. The top-ranked software is displayed to the terminal in a prominent way to present to the user, and relevant information display and download methods are provided, so as to realize the recommendation and push of the software store to the end user. [0003] In the prior art, the server-side software store pushes software to the terminal according to the software classification of the server itself and the download quantity in the classi...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the server-side software store pushes software to the terminal according to the software classification of the server itself and the download quantity in the classification, which is relatively mechanical. Because in the increasingly prosperous software store model, there are a huge number of various Types of software, even if they belong to the same kind of software, because of their different usage characteristics and emphases, their audiences may also be different, that is, it is possible that the software with the highest number of downloads in the classification is not the favorite of a certain user or user group Therefore, it is not friendly and intelligent enough for users to simply rely on the server to make recommendations based on software classification and its download volume.

Images