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Research Article | Open Access |

Cinematic Curator: A Machine Learning Approach to Personalized Movie Recommendations

Author 1: B. Venkateswarlu Author 2: N. Yaswanth Author 3: A. Manoj Kumar Author 4: U. Satish Author 5: K. Dwijesh Author 6: N. Sunanda
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 15, No. 4 · Published 2024

DOI: https://doi.org/10.14569/IJACSA.2024.0150452

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Abstract

This work suggests a sophisticated movie recommendation system that offers individualized recommendations based on user preferences by combining content-based filtering, collaborative filtering, and deep learning approaches. The system use natural language processing (NLP) to examine user-generated content, movie summaries, and reviews in order to get a sophisticated comprehension of thematic aspects and narrative styles. The model includes SHAP for explainability to improve transparency and give consumers insight into the reasoning behind recommendations. The user-friendly interface, which is accessible via web and mobile applications, guarantees a smooth experience. The system is able to adjust to changing user preferences and market trends through ongoing upgrades that are founded on fresh data. The system's efficacy is validated by user research and A/B testing, which show precise and customized movie recommendations that satisfy a range of tastes.

Keywords

Machine learning algorithms decision tree random forest model-evaluation accuracy value precision value F1 score

How to Cite this Article

Venkateswarlu, B., Yaswanth, N., Kumar, A. M., Satish, U., Dwijesh, K., & Sunanda, N. (2024). Cinematic Curator: A Machine Learning Approach to Personalized Movie Recommendations. International Journal of Advanced Computer Science and Applications, 15(4). https://doi.org/10.14569/IJACSA.2024.0150452

Venkateswarlu, B., et al.. "Cinematic Curator: A Machine Learning Approach to Personalized Movie Recommendations." International Journal of Advanced Computer Science and Applications, vol. 15, no. 4, 2024, https://doi.org/10.14569/IJACSA.2024.0150452.

@article{Venkateswarlu2024,
  title     = {Cinematic Curator: A Machine Learning Approach to Personalized Movie Recommendations},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {4},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {B. Venkateswarlu and N. Yaswanth and A. Manoj Kumar and U. Satish and K. Dwijesh and N. Sunanda},
  doi       = {10.14569/IJACSA.2024.0150452},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150452}
}

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