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Android application recommendation method

A recommendation method, Android technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of consuming mobile data packages of Android users, increasing user network traffic data overhead, malicious purchase popularity, etc.

Inactive Publication Date: 2017-01-04
HUNAN POLICE ACAD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the application will request network permission to access the network when it is running, and will also request to read the status and identity of the mobile phone. When using this application, it will bring two problems to Android users: first, the network traffic generated during operation The overhead will consume the Android user's mobile data package; second, the app may transmit private data (for example, IMEI) to an unknown server through the network, resulting in leakage of user sensitive data
In addition, the current Android market only recommends applications based on factors such as popularity (scores, download times, etc.) or user relevance, so there must be popularity of malicious purchases, thereby guiding consumers to download applications, thereby obtaining users. In the case of privacy data and additional unnecessary network traffic data overhead for users

Method used

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Examples

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Embodiment Construction

[0080] Such as figure 2 Shown is the method flowchart of the present invention: the recommendation method of this Android application provided by the present invention comprises the following steps:

[0081] S1. Use the Android application automatic execution tool to execute all Android applications that need to be recommended, and use the recording tool tcpdump to capture the network traffic data generated during the execution of the Android applications that need to be recommended;

[0082] These data are divided into four categories: first, the traffic generated by the exchange of data between the Android application and its own server; second, the network traffic generated by the third-party library embedded in the Android application, such as the advertising library; third, the Android application and the CDN or cloud Network traffic generated by server communication, such as Akamai and Amazon; fourth, network traffic generated by Android applications communicating with ...

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Abstract

The invention discloses an Android application recommendation method. The method includes the steps that all Android applications needing to be recommended are executed, and network flow traffic data generated by the Android applications are captured; the Android applications needing to be recommended are counted; a bipartite graph of the Android applications and network traffic overheads of the Android applications is constructed; the network traffic overheads of the Android applications are scored; the network traffic overheads of the Android applications are graded; the Android applications are sequenced; an Android application Hash matrix is constructed to finish Android system network application recommendation. According to the method, network overheads and popularity of the Android applications are fused to serve as bases of Android application recommendation, and accordingly when application recommendation is conducted on users, mobile data overheads can be effectively saved for the users. When the method is implemented, calculation speed is high, massive applications in an Android application market can be quickly recommended online, and practicality is extremely good.

Description

technical field [0001] The invention specifically relates to a method for recommending Android applications. Background technique [0002] With the rapid development of wireless communication technologies, such as WiFi and 3G / 4G technologies, Android (Android) applications can provide users with a variety of services through the network. Since the Android operating system can provide a standard TCP / IP stack, it can generate network traffic while providing services like PC software. However, unlike the traditional wired network, any generation of network data traffic in the mobile network needs to be paid by the mobile user. In order to provide users with better services and obtain more downloads, Android application developers design as many functions as possible to make Android applications more intelligent when developing applications. However, most of these services will cause network traffic overhead, and even some of them will cause security problems. figure 1 Taking...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 刘绪崇苏欣张悦童宇
Owner HUNAN POLICE ACAD
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