
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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movie recommendation system using machine learning
Author(s) | Mr. Anish Kumar, Prof. Sharmistha Dey, Mr. Hariom Kumar, Mr. Vaibhav Mishra |
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Country | India |
Abstract | A movie recommendation system is essential for providing users with tailored movie recommendations. This study performs a systematic literature review on existing movie recommendation system. It also highlights the technical details of working procedure of a movie recommendation system and how the filtering criteria work. The research aims to highlight the modern movie recommendation systems that are recently being used by the researchers and which kind of necessary measures to be taken to prevent current challenges. |
Keywords | Movie Recommendation, Content-based Filtering, Text to vector, Vector similarity, collaborative filtering. |
Field | Computer |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-04-27 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.41319 |
Short DOI | https://doi.org/g9gvdw |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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