Movie Recommendation System using Composite Ranking

@article{Mehta2022MovieRS,
  title={Movie Recommendation System using Composite Ranking},
  author={Irish Mehta and Aashal Kamdar},
  journal={ArXiv},
  year={2022},
  volume={abs/2212.00139}
}
. In today’s world, abundant digital content like e-books, movies, videos and articles are available for consumption. It is daunting to review everything accessible and decide what to watch next. Consequently, digital media providers want to capitalise on this confusion and tackle it to increase user engagement, eventually leading to higher revenues. Content providers often utilise recommendation systems as an efficacious approach for combating such information overload. This paper concentrates… 
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