Comportement Analyse And Recommendation Using ClickStream Data
Abstract & Details
Research Area
Computer Engineering
Keywords
Web Mining
Data Mining
Behavior Analysis
E-Customer
Clickstream
Customer Behavior
Abstract
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,
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Khushboo Kumari | International Institute of Information Technology |
| 2 | Harsh Khajgiwale | International Institute of Information Technology |
| 3 | Surabhi Umare | International Institute of Information Technology |
| 4 | Aishwarya Kumar | International Institute of Information Technology |
| 5 | Gaurav Phadtare | International Institute of Information Technology |
| 6 | Prof. Vishal Chaudhary | International Institute of Information Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kumari, Khushboo, Khajgiwale, Harsh, Umare, Surabhi, Kumar, Aishwarya, Phadtare, Gaurav, & Chaudhary, Prof. Vishal (2017). Comportement Analyse And Recommendation Using ClickStream Data. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 1256-1260.
MLA Style
Kumari, Khushboo, et al. "Comportement Analyse And Recommendation Using ClickStream Data." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 1256-1260.
IEEE Style
Khushboo Kumari, Harsh Khajgiwale, Surabhi Umare, Aishwarya Kumar, Gaurav Phadtare, and Prof. Vishal Chaudhary, "Comportement Analyse And Recommendation Using ClickStream Data," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 1256-1260, 2017.
Vancouver Style
Kumari Khushboo, Khajgiwale Harsh, Umare Surabhi, Kumar Aishwarya, Phadtare Gaurav, Chaudhary Prof. Vishal. Comportement Analyse And Recommendation Using ClickStream Data. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):1256-1260.
Harvard Style
Kumari, Khushboo, Khajgiwale, Harsh, Umare, Surabhi, Kumar, Aishwarya, Phadtare, Gaurav, & Chaudhary, Prof. Vishal (2017) 'Comportement Analyse And Recommendation Using ClickStream Data', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 1256-1260.
Chicago Style
Kumari, Khushboo, et al. "Comportement Analyse And Recommendation Using ClickStream Data." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1256-1260.
Turabian Style
Kumari, Khushboo, et al. "Comportement Analyse And Recommendation Using ClickStream Data." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1256-1260.
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