Adaptive Streaming A Personalized Content Recommender for OTT Services

Authors

  • Mr.Y.Manas Kumar Author
  • Kakarlapudi Rajeswari Author
  • Yalla Sri Surya Devi Author
  • Rani Srinadh Author
  • Jampana Anita Siri Author
  • Challa Mohan Lakshmi Suryakala Author

DOI:

https://doi.org/10.62643/

Keywords:

Movie recommendation, personalization, genres, user ratings, collaborative filtering, content-based filteringV, OTT platforms, entertainment applications

Abstract

This project introduces a movie recommendation system that identifies the top 10 movies tailored to users' preferences based on genres and ratings. By leveraging collaborative and content-based filtering techniques, the system combines user behavior and movie metadata to deliver relevant and personalized suggestions. The approach enhances user engagement and simplifies the movie discovery process, ensuring a diverse yet targeted selection. This implementation is ideal for OTT platforms and other entertainment applications, offering an efficient solution for content curation and personalized user experiences.

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Published

26-03-2025

Issue

Vol. 21 No. 1 (2025): Volume 21 No. 1 2025

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Adaptive Streaming A Personalized Content Recommender for OTT Services. (2025). International Journal of Engineering Research and Science & Technology, 21(1), 680-686. https://doi.org/10.62643/