INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
With the increasing amount of digital media content, movie recommendation systems have become essential in helping users find movies or TV shows that match their interests and preferences. These systems use machine learning algorithms to analyze user data, including their viewing history, ratings, and other relevant factors, to generate personalized recommendations. In this research paper, we provide an overview of movie recommendation systems, including their types, challenges, and state-of-the-art approaches. We also discuss how these systems are implemented in various platforms and their impact on user engagement and satisfaction. Finally, we present a case study of a collaborative filtering-based movie recommendation system using Python and evaluate its performance using different evaluation metrics.
Keywords:
Digital media content, Machine learning algorithms, State of the systems, CollaborativeFiltering, Evaluation metrics
Cite Article:
"MACHINE LEARNING APPROACHES FOR PERSONALIZED MOVIE RECOMMENDATIONS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c21-c25, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305204.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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