Internet User Behavior Analysis Based on Big Data

摘要

Today's world has entered the simultaneous development of big data technology and mobile Internet technology, and has acquired a large amount of Internet user behavior data. Through the analysis of Internet user behavior data, it is possible to obtain Internet user behaviors such as the location distribution of Internet users, Internet trends, consumption behaviors, etc., which can help Internet users' preferences, meet user needs, and target users for targeted promotion. It is absolutely necessary for any organization to produce better services. The purpose of the research in this article is to conduct data analysis on Internet user behavior in the era of big data, and to make innovative development of traditional user behavior patterns. From the perspective of big data analysis, in the field of Internet user behavior, through the scientific application of big data technology and theoretical derivation, this paper can reveal the internal laws of Internet user behavior relatively completely. The experimental results show that the use of big data for Internet users needs to process multiple data rationally to provide decision-making reference value to analysis and decision-makers in a correct way, or directly provide decision-making data to the senior management.