Product Recommendation System Design

Abstract

Along with the continuous scale expansion of the e-commerce market, it provides a wide variety of goods as well as choices for the users. The consequent " information overload " is causing information producers to worry about how to make their products stand out, while also worrying information consumers about how to get the information they want. This paper puts forward product recommendation system based on the electronic commerce. It collects e-commerce transaction data, analyzes and mines the rich data information, recommends goods based on user preference and interest. It reduces the time to select the interesting goods and improves the efficiency of purchasing for the customers, and improves the success rate of sales to create a greater economic benefit for the enterprises.