A Role of Machine Learning Algorithms for Demand Based Netflix Recommendation System

Tejaswini Bhoye, Aishwarya Mane, Vandana Navale, Sangeeta Mohapatra, Sandeep Chitalkar, Vishal Borate, Yogesh Mali

2025

Abstract

The rise of streaming services, personalized content recommendation is one of the critical features enhancing user engagement and retention. This paper presents a comprehensive analysis of the Netflix recommendation system, which bases its predictions on machine learning and collaborative filtering from behavioural data about the viewers’ preferences. It combines the two techniques into a hybrid approach to create personalized recommendations. It further honed the system using the technique of Singular Value Decomposition with enhanced accuracy for recommendations relevant to the viewer. This is realized by dynamism whereby it is possible to learn through the models that the viewers’ tastes change over time by feature engineering and techniques based on deep learning. Hence, there is alignment with actual viewer preferences at the more precise level. This research demonstrates and depicts how these methodologies efficiently work toward improving viewer satisfaction, and therefore significantly contribute towards the competitive advantage of a company such as Netflix, within the very competitive streaming market. The study provides prime ideas and guidelines for progress into future advancement regarding the recommendation system in streaming platforms.

Paper Citation

in Harvard Style

Bhoye T., Mane A., Navale V., Mohapatra S., Chitalkar S., Borate V. and Mali Y. (2025). A Role of Machine Learning Algorithms for Demand Based Netflix Recommendation System. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 212-220. DOI: 10.5220/0013589500004664

in Bibtex Style

@conference{incoft25,
author={Tejaswini Bhoye and Aishwarya Mane and Vandana Navale and Sangeeta Mohapatra and Sandeep Chitalkar and Vishal Borate and Yogesh Mali},
title={A Role of Machine Learning Algorithms for Demand Based Netflix Recommendation System},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={212-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013589500004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - A Role of Machine Learning Algorithms for Demand Based Netflix Recommendation System
SN - 978-989-758-763-4
AU - Bhoye T.
AU - Mane A.
AU - Navale V.
AU - Mohapatra S.
AU - Chitalkar S.
AU - Borate V.
AU - Mali Y.
PY - 2025
SP - 212
EP - 220
DO - 10.5220/0013589500004664
PB - SciTePress