Vol. 9, Special Issue 4, Part B (2023)
Dynamic data visualization and clickstream data analytic for e-commerce
Dynamic data visualization and clickstream data analytic for e-commerce
Author(s)
Shivani Sharma and Sayanta Kumar Das
AbstractNowadays web is becoming an important pathway for reaching customers and prospects; Click stream data generated by online platforms and websites has become another important enterprise data source. Every minute thousands of customers do shopping through e-commerce web sites around the world. Huge amounts of click stream data are generated from customers' use of e-commerce websites. It has become crucial to understand user behavior from click stream data and to estimate purchase intention. This paper discuss the traditional approaches for operating on B2C E-Commerce as well as some recent applications of Data visualization tools and techniques in E-Commerce sector and also the development of a 2D interactive visual interface for processing large online product catalogs with search preferences.
How to cite this article:
Shivani Sharma, Sayanta Kumar Das. Dynamic data visualization and clickstream data analytic for e-commerce. Int J Appl Res 2023;9(4S):48-50.