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.
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[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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