Comportement Analyse And Recommendation Using ClickStream Data
Kumari Khushboo, Harsh Aijt Khajgiwale, Surabhi Umare, Aishwarya Kumar, Gaurav Phadtare, Vishal Chaudhary · International journal of advance research and innovative ideas in education · 2017
Now-a-days, e-commerce is very much trending. People prefer to shop online on Internet than to go on a retail shop and purchase the items. The shopkeeper in a general marketplace or retail shop can easily analyze the customers’ behavior and predict if he/she will buy a product or no. But in online shopping system it is difficult to predict the behavior of the customer as he/she is absent physically for shopping. Hence, in this study we propose a model for the analysis of e-customers behavior using clickstreams and extraction of data to predict the shopping behavior of customers on digital market. This model will predict whether the customer will buy the product added to the shopping basket or not,