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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM35344

Online Shopping Behaviour and User Experience Using Machine Learning

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM35344

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM35344

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.

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Authors

AR

Anmol Raman

PBB

Prof. Badal Bhushan

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Abstract

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.

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Cite This Article

Anmol Raman, Prof. Badal Bhushan, "Online Shopping Behaviour and User Experience Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024. https://doi.org/10.55041/IJSREM35344

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4/5/2024

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The authors declare no conflict of interest related to this research work.

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