Real Time Analysis System of User Behavior from the Perspective of Big Data

Abstract

Nowadays, the speed of data generation is growing rapidly. The analysis and mining of data on enterprise websites can bring business value to enterprises. There are many ways for users to access a website. What the real-time analysis system of user behavior from the perspective of big data needs to do is to collect all the access ways of users, and finally get a real-time dynamic effect map through technical storage, statistics, analysis. Through the analysis of the effect map, we can know which way users visit the website and which way is the main one, so as to serve as a reference for enterprise product promotion. In particular, because the resulting renderings are dynamic and real-time, with the passage of time, the amount and percentage of each access mode will change, from which we also can know the change trend of access mode, so as to adjust the promotion strategy in time.