Customer Behavior Analysis in E-Commerce using Decision Tree Machine Learning Approach
The e-commerce industries are growing rapidly. Many of the Customers are purchasing products through the online platform. The Customer, who don’t buy product online but they still search online products before buying. The review rating of any product plays important role for making decision among Customers. If any product gets good rating and reviews then the selling chances is more of this product. Sometimes, the false or wrong rating is also done by the companies or persons. The artificial indigence based machine learning techniques are capable to predict he true and false review or provide the prediction model. This paper presents the Customer behavior analysis in e-commerce using decision tree machine learning algorithm. Simulation is done using python spyder platform and simulated result shows the improvement in the accuracy of the prediction model.