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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM35344
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Building upon prior research, this project investigates online shopping behavior and user experience using machine learning. The objective is to refine e- commerce interactions through data analysis, aiming for improved personalization and user satisfaction. The researcher plans to implement a common but impact change by enhancing recommendation algorithms. The primary languages for project development include Python for machine learning models and data analysis, and We are planning to make our shopping suggestions even smarter by tweaking how they work. It’s kind of like adding a pinch of extra flavor to our online shopping experience. To make all this happen, we’ll be using languages like Python.
KEYWORDS
Publication Date
4/5/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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