Internet Behavior Analysis System and Its Working Method

Abstract

The invention relates to an internet behavior analysis system and a working method thereof. The internet behavior analysis system comprises a distributed cloud computing processing platform, a communication operator data communication network and an interface server; the distributed cloud computing processing platform is connected and communicated with the communication operator data communication network through a switch board and a firewall; the interface server is responsible for downloading an internet log of a user of a communication operator and is connected and communicated with the communication operator data communication network; and the distributed cloud computing processing platform comprises a main processing server, a plurality of node servers and an operation terminal which are connected and communicated in a distributed and parallel manner. The invention further provides a working method of the internet behavior analysis system. By means of the internet behavior analysis system and the working method thereof, mass data can be processed, so that identification of internet behaviors of the user can be realized, and corresponding labels can be matched according the internet behaviors of a customer.

Description

technical field [0001] The invention relates to the field of data analysis and processing, in particular to an Internet behavior analysis system and a working method thereof. Background technique [0002] At present, the mobile Internet is developing rapidly, 3G is ushering in a blowout development, the competition in the mobile business development market is fierce, and the battle for 3G status is becoming more and more intense. Traffic management will become the top priority of the 3G development of the mobile Internet. [0003] Communication operators often face the following problems and confusions when conducting traffic operations: [0004] 1) I don’t know where the user’s traffic is going. It’s not clear what the user’s traffic is mainly used for every month, and in what ways, so I can’t really understand the user’s needs. I don’t know what the user likes to do online, and I can’t really carry out Targeted guidance and recommendations. Blind recommendations sometimes...

AI Technical Summary

Problems solved by technology

[0004] 1) I don’t know where the user’s traffic is going. It’s not clear what the user’s traffic is mainly used for every month, and in what ways, so I can’t really understand the user’s needs. I don’t know what the user likes to do online, and I can’t really carry out Targeted guidance and recommendations. Blind recommendations sometimes arouse users' disgust and cause users to complain, but have bad effects;

[0005] 2) I don’t know the usage scenarios of users, and I don’t know in which scenarios users usually use mobile phones to surf the Internet. I don’t have an accurate grasp of the marketing opportunities, and the user feedback rate is not high. As a result, users often don’t read the content recommended by operators. directly delete it;

[0006] 3) It is not possible to transplant the user's broadband Internet preference to the mobile phone. If the user's broadband Internet preference is clear, the corresponding mobile client can be recommended and the broadband Internet preference can be transplanted to the mobile phone.

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