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Segmentation of E-Commerce Users on Cart Abandonment and Product Recommendation Using Double Transformer Residual Super-Resolution Networ Cover

Segmentation of E-Commerce Users on Cart Abandonment and Product Recommendation Using Double Transformer Residual Super-Resolution Networ

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 19 (2025): Issue 3 (September 2025)
By: Kumar P Praveen and  R Suguna  
Open Access
|Sep 2025

Authors

Kumar P Praveen

praveen.padigela@gmail.com

Department of Computer Science and Engineering, Vel Tech Rangarajan, Dr. Sagunthala R&D Institute of Science and Technology, India

R Suguna

drsuguna15@gmail.com

Computer Science Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
DOI: https://doi.org/10.14313/jamris-2025-024 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 45 - 52
Submitted on: Mar 15, 2024
|
Accepted on: May 20, 2025
|
Published on: Sep 10, 2025
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
E-commerce,
cart abandonment,
product recommendation,
double transformer residual super-resolution network,
polar coordinate bald eagle search algorithm
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2025 Kumar P Praveen, R Suguna, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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