Coupon Purchase Prediciton

Pradumn Upadhyay , Pratik Mali , Pushkar Jaiswal , Bindu Garg

Machine Learning, Coupons Code, Prediction, E-Commerce

Our project is based on user data analysis which is used to predict whether a user will purchase coupons or not based on his previous purchases from the site. Issuing discount shopping coupons and barter purchase is a popular way to promote sales in E-commerce environments. In order to improve the coupon usage ratio, it is important to predict the probability in which a user will use a coupon. To treat the coupon redemption probability prediction problem as a binary classification problem, we use machine learning methods to analyze users' coupon usage behavior and coupon purchase prediction.

Published Paper   E-Certificate

"Coupon Purchase Prediciton", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 5, page no.99 - 101, May-2020, Available :https://ijsdr.org/papers/IJSDR2005019.pdf

Volume 5 Issue 5, May-2020

Pages : 99 - 101

Paper Reg. ID: IJSDR_191671

Published Paper Id: IJSDR2005019

Downloads: 000347348

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2005019

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2005019

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition