Data processing method and device based on online behavior of mobile phone user

Abstract

The present invention discloses a method and an apparatus for data processing based on surfing behavior of a mobile telephone user, wherein the method includes: generating, according to the surfing data of the user, a first phone list comprising Uniform Resource Locator (URL) visited by the user; performing pre-processing on the data in the first phone list according to a preset rule, and generating a second phone list; and, performing statistic and analysis processing on the data in the second phone list. The present invention firstly performs pre-processing on phone list data before the phone list data is inputted into a system database; after a series of pre-processing, new phone list data is generated and inputted into the system database, and then the system database performs statistic and analysis processing on the new phone list data. By this means, the process of analysis on a great deal of URL data performed by the system database is saved, thereby greatly improving the processing efficiency on phone list data, and solving the performance bottleneck problem of analysis on surfing behavior of a mobile telephone user.

Description

technical field [0001] The invention relates to the technical field of mobile networks, in particular to a data processing method and device based on mobile phone users' online behavior. Background technique [0002] At present, in mobile network services, analyzing and mining user surfing data has become a popular trend. With the continuous growth of service providers and the number of users using mobile phones to access the Internet, the bills generated by mobile service systems continue to increase. In service systems with a large number of bills, the service volume TPS (Tip-Per-Second) has even reached 5000 Articles / second, the amount of data per day is about 100 million to 200 million. [0003] As an operator that needs to understand the online behavior of mobile phone users, it is usually necessary to analyze the online behavior of mobile phone users as follows: [0004] a) Internet type analysis: the types of websites with high user visit frequency; [0005] b) Des...

AI Technical Summary

Problems solved by technology

[0014] It can be seen from the above table 1 that the speed of generating bills is faster than the speed of processing bills, so that bills will pile up more and more and cannot be processed in time, which not only causes serious delays in data processing, but also increases the system database processing burden

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