Analysis and Research of Internet User Behaviors under the Context of Big Data

By counting and analyzing the Internet user behaviors, the law and behavioral habits of users visiting websites are revealed. Combined with network marketing strategy, their loyalty and preference of online products can be understood correctly so that product marketing can be more accurate and effective, thus increasing the output of users. Meanwhile, it can also be used to analyze whether the page structure design is reasonable and provide the basis for further correcting or re-developing network marketing strategy to satisfy the user demands of the website and increase the credibility of the website. This paper has elaborated in detail the concept of Internet user data collection and the object of user behavior analysis, put forward some research approaches on the analysis methods of Internet user data, set up a big data processing model, and finally discussed the problems brought by the collection and analysis of data.