E-Commerce: Reach Customers and Drive Sales with Data Science and Big Data Analytics-Reference-Cited by-同舟云学术

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E-Commerce: Reach Customers and Drive Sales with Data Science and Big Data Analytics

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference for Innovation in Technology (INOCON)
language:
Short-container-title:

Author:

Sharma Drishti¹,Maurya Sudhanshu²,Punhan Ritu¹,Ojha Manish Kumar³,Ojha Poonam⁴

Affiliation:

1. Amity University Noida,Department of Information Technology,Noida,Uttar Pradesh,India

2. Graphic Era Hill University, Bhimtal Campus,School of Computing,Nainital,India

3. Amity University Noida,Department of Mechanical Engineering,Noida,Uttar Pradesh,India

4. Management Professional

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10100964/10100966/10101132.pdf?arnumber=10101132

Reference21 articles.

1. WITHDRAWN: E-commerce brand marketing based on FPGA and machine learning

2. "I Think You'll Like It"

3. Revisiting customer analytics capability for data-driven retailing

4. E-Commerce Product Categorization via Machine Translation

5. A Hybrid Prediction Model for E-Commerce Customer Churn Based on Logistic Regression and Extreme Gradient Boosting Algorithm

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