User behavior big data analysis method and system based on mobile internet

Abstract

The embodiment of the invention provides a user behavior big data analysis method and system based on a mobile internet. The method comprises the steps of obtaining a user operation behavior segment generated by a target user in a preset time period in a mobile internet scene, sequentially taking each user operation behavior in the user operation behavior segment as a target user operation behavior needing to be subjected to user behavior intention analysis, and then performing behavior intention analysis on the target user operation behavior according to a pre-generated user operation behavior sequence library comprising a plurality of user operation behavior sequences, and finally, acquiring the current behavior portrait of the target user through analysis according to the user behavior intention corresponding to each user operation behavior, and pushing corresponding mobile internet information to the target user according to the current behavior portrait. Thus, the user operation behavior intention of the target user based on the user operation behavior segmentation can be obtained through accurate analysis, and a good application effect can be obtained when the method is used for subsequent applications such as mobile internet information pushing.

Description

technical field [0001] The present invention relates to the technical field of mobile Internet and big data analysis, in particular to a mobile Internet-based user behavior big data analysis method and system. Background technique [0002] With the rapid development of mobile Internet technology, people can use mobile Internet services anytime and anywhere through mobile terminals, such as browsing web news, online shopping, downloading network data, and using network cloud services through smart phones at any time. Furthermore, with the popularization of new-generation communication technologies such as 5G communication technology, the network speed has also been greatly improved, and the convenience brought by the mobile Internet to users has become more and more obvious. [0003] While users are using related services of the mobile Internet, for various platform merchants that provide services, the analysis of user traffic to improve service quality and user experience is...

AI Technical Summary

Problems solved by technology

[0004] However, the inventors have found that most of the existing big data analysis methods based on user behavior are limited to the characteristic analysis of user operation behavior itself, and the consideration factors in the analysis process are relatively single and one-sided, which ultimately leads to a lack of accuracy in the analysis. As a result, the application effect of the latter stage is not ideal

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