Research on User Behavior Analysis Based on Big Data Technology

Abstract

Big data technology refers to the ability to efficiently extract high-value information from multiple sources and massive amounts of data. It is an important achievement in the development of information technology and has significant application value in the field of user behavior analysis. Against the backdrop of rapid development of the digital economy and industry transformation, the role of e-commerce in the market system is increasingly prominent, and the scale of platform users continues to expand. In order to promote high-quality and sustainable development of the e-commerce industry, e-commerce platforms urgently need to use precise marketing methods to provide personalized products and services according to user needs, thereby improving user conversion rates and platform operating efficiency. This article takes e-commerce users as the research object. Firstly, it elaborates on the data characteristics and types of e-commerce user behavior. Secondly, it summarizes the relationship between big data and user behavior analysis, as well as the application value of big data technology in e-commerce user behavior analysis. Finally, it proposes scientific and effective application strategies, aiming to provide reference for e-commerce platforms to achieve accurate recommendations, optimize service strategies, enhance user experience and market competitiveness by mining user consumption preferences, potential needs and behavioral characteristics.