Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites-Reference-Cited by-同舟云学术

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Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites

Published:2023-10-27 Issue: Volume:70 Page:1-13
ISSN:
Container-title:2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
language:
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Author:

Chowdary Kalpana¹,Babu J. Chinna²,Khan Mudassir³,Kiran Ajmeera⁴

Affiliation:

1. MLR Institute of Technology,CSE,Hyderabad,India

2. Annamacharya Institute of Technology and Sciences,Department of ECE,Rajampet,AP,India

3. King Khalid University,College of Science & Arts Tanumah,Department of Computer Science,Abha,Saudi Arabia

4. MLR Institute of Technology,Computer Science and Engineering,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525677/10525695/10526058.pdf?arnumber=10526058

Reference60 articles.

1. Addressing Complex and Subjective Product-Related Queries with Customer Reviews

2. E-commerce: Evolution or revolution in the fast-moving consumer goods world;Nielsen;nngroup.com,2014

3. Experimental study of in-equality and unpredictability in an artificial cultural market;Salganik M J

4. Innovation diffusion and new product growth models: A critical review and research directions

5. Early Prediction of Market Success for New Grocery Products

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