E-Commerce Data Analysis Based on Big Data and Artificial Intelligence

With the advent of the Internet age, the sales industry has also launched a new networked sales channel through the information network platform. In the network sales platform where all kinds of e-commerce are gathered, the mastery and analysis of various information data can provide accurate data decision analysis for e-commerce. At present, information data analysis systems based on big data and artificial intelligence technology provide data collection, analysis and decision-making to help e-commerce provide more efficient and accurate information services. Based on the e-commerce platform's big data intelligent data processing decision system, the product recommendation and effect of e-commerce concern in the paper are studied, and the collaborative filtering algorithm is adopted to recommend the product for the e-commerce user interest preference. After optimizing the algorithm, the simulation algorithm is compared with the rule algorithm to prove that the effect of this study is more accurate and effective for e-commerce data.