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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 6

Published on: June 2026

PERSONALIZED STREAMING RECOMMENDATION ENGINE USING MACHINE LEARNING: DESIGN, IMPLEMENTATION AND PERFORMANCE ANALYSIS

Ananya Bisoi Debasmita Swain

Gandhi Institute for Technology Autonomous BPUT University

Bhubaneswar, India 752054
DOI:https://doi.org/10.55041/ijcope.v2i6.087

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

The rapid growth of online streaming platforms has created a vast collection of multimedia content, making content discovery difficult for users. Traditional searching methods often require more effort and fail to provide personalized experiences. Therefore, recommendation systems have become an important area of research in machine learning. This thesis presents a Personalized Streaming Recommendation Engine using Machine Learning to improve user experience and content discovery. The proposed system uses Content-Based Filtering, Count Vectorization, and Cosine Similarity techniques to generate recommendations based on movie metadata such as genres, cast, keywords, and descriptions. Additionally, ReactJS, Python APIs, MongoDB, JWT authentication, and TMDB APIs are integrated to build a complete and efficient recommendation platform. The developed system provides accurate personalized recommendations and offers scope for future enhancements in intelligent recommendation systems.

Keywords— Machine Learning; Recommendation System; Content-Based Filtering; Cosine Similarity; ReactJS; MongoDB.

How to Cite this Paper

Bisoi, A. & Swain, D. (2026). Personalized Streaming Recommendation Engine Using Machine Learning: Design, Implementation and Performance Analysis. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.087

Bisoi, Ananya, and Debasmita Swain. "Personalized Streaming Recommendation Engine Using Machine Learning: Design, Implementation and Performance Analysis." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.087.

Bisoi, Ananya, and Debasmita Swain. "Personalized Streaming Recommendation Engine Using Machine Learning: Design, Implementation and Performance Analysis." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.087.

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Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Jun 06 2026
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