INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
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.
"Coupon Purchase Prediciton", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.99 - 101, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005019.pdf
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Publication Details:
Published Paper ID: IJSDR2005019
Registration ID:191671
Published In: Volume 5 Issue 5, May-2020
DOI (Digital Object Identifier):
Page No: 99 - 101
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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