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)
Even though many people love watching movies, their choice of watching movies isn’t the same for every person, differs based on their various preferences like genre, actors, directors etc. When we take all this into account, it’s astoundingly difficult to generalize a movie and say that everyone would like it. To tackle this, we use Recommendation systems such as hybrid filtering. A movie recommendation system using hybrid filtering combines content-based and collaborative filtering methods to suggest movies to users. The content-based method uses movie features such as genre, plot, and actors to find similar movies, while the collaborative filtering method utilizes user behavior such as watching history, ratings, and user similarity to make recommendations. By combining these two methods, the system can provide more accurate and diverse movie suggestions to users.
Keywords:
Content Based Filtering, Collaborative Filtering, Hybrid Filtering.
Cite Article:
"Content Recommendation Systems and Approaches Using Hybrid Filtering", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.b800-b804, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307190.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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