Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

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Prediction of E-Commerce Shoppers’ Purchasing Intention using Knn Algorithm

Authors
Ankush Verma1, *, Chetan Nagar1, Sharda Haryani1, Sumit Jain1
1Prestige Institute of Management & Research, Indore, India
*Corresponding author. Email: ankush_verma@pimrindore.ac.in
Corresponding Author
Ankush Verma
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_6How to use a DOI?
Keywords
Knn; supervised learning; machine learning; natural language processing
Abstract

An e-commerce web site is very much effective for visitors to buy on-line shopping achieving a high conversion rate which added a new explosion in the business sector. People tend to explore online for finding the items they need and buy in real time. For this companies use different machine learning algorithms to find the user behaviour and interest about the products. There are so many algorithms such as regression, Random Forest, Decision Tree, Knn, Naive Bayes, SVM, Logistic regression to predict whether a customer visiting the webpages of an e-commerce shop also show they will purchase or not. The analysing in real time predicts the history of customers shopping. In this paper we take a dataset of e-commerce purchasing and apply a knn algorithm to find out the purchasing intention of customers. We are also discussing the top companies using machine learning to generate revenue and analyze their data for better prediction.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_6How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ankush Verma
AU  - Chetan Nagar
AU  - Sharda Haryani
AU  - Sumit Jain
PY  - 2025
DA  - 2025/05/26
TI  - Prediction of E-Commerce Shoppers’ Purchasing Intention using Knn Algorithm
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 63
EP  - 72
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_6
DO  - 10.2991/978-94-6463-716-8_6
ID  - Verma2025
ER  -