ANALYSIS OF ONLINE CUSTOMERS PURCHASE INTENTION USING MACHINE LEARNING ALGORITHMS

Аннотация

Online shopping is a huge business nowadays because of the rapid development of buying a product online is raised. Internet technologies play a very important role in online shopping and pay bills online by transection. Data mining is that process which can be used to extract useful data from a large amount of material or data. Now, we use data mining and in which we use machine learning algorithms to predict the appropriate transaction or purchase intention of customers or consumers. To analyzed customer predicting intention, we analyzed the customers' history-related buy product then get predicted values [1]. In this paper, we use empirical data to analyzed the purchase intention of shoppers and developed a better predicting model to check the purchase intention of customers. We have analyzed many different classification algorithms in which some are naive bayes, j48, and logistics regression to predict the customer visit to the webpage, customers buy a product or not. Our dataset online shopper’s intention makes this study unique.