Netflix Recommendation System based on TF-IDF and Cosine Similarity Algorithms
Mohamed Chiny, Mohamed Chiny, Marouane Chihab, Omar Bencharef, Younes Chihab
2021
Abstract
Netflix is the most popular on-demand broadcast platform available today. Its service is available in 190 countries and includes movies and TV shows. In our study, we conducted an exploratory analysis of data obtained from Flixable, which is a search engine that lists the content available on Netflix. A dataset of 7,787 unique records was analyzed to highlight essential information about the content available on this platform. We also implemented a recommendation system using the TF-IDF and Cosine similarity algorithms, which are models widely used in Natural Language Processing (NLP). The exploratory analysis has revealed interesting data on the current trends of the content delivered on Netflix. Despite the limitation of the recommendation system in its current state, it looks promising when additional features are taken into consideration
DownloadPaper Citation
in Harvard Style
Chiny M., Chihab M., Bencharef O. and Chihab Y. (2021). Netflix Recommendation System based on TF-IDF and Cosine Similarity Algorithms. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 15-20. DOI: 10.5220/0010727500003101
in Bibtex Style
@conference{bml21,
author={Mohamed Chiny and Marouane Chihab and Omar Bencharef and Younes Chihab},
title={Netflix Recommendation System based on TF-IDF and Cosine Similarity Algorithms},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={15-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010727500003101},
isbn={978-989-758-559-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Netflix Recommendation System based on TF-IDF and Cosine Similarity Algorithms
SN - 978-989-758-559-3
AU - Chiny M.
AU - Chihab M.
AU - Bencharef O.
AU - Chihab Y.
PY - 2021
SP - 15
EP - 20
DO - 10.5220/0010727500003101