• Akshat Kothiyal
• Ankit Kumar
• Dhanush N
• Prajna K B

In the basics of today’s digitally growing world, recommendation system plays a very important role in the media and entertainment industry. Streaming service providers like Netflix, YouTube, Amazon Prime, etc. are making tremendous use of recommendation systems in order to endorse their content to the users. A recommendation system is a type of information filtering system that intends to anticipate the rating or preference a user may assign to a certain item. The selection of a proper dataset and algorithms are the two most important pillars of a recommendation system. This prototype focuses more on content and collaborative-based approach which later shifts its focus to a hybrid model. Mathematical modelling like Cosine Similarity and Single Value Deposition (SVD) is used in this project. Designing a user interface is also a part of this project where the user can display the results.

Cosine Similarity, SVD, Recommendation system

"IMPLEMENTATION OF HYBRID RECOMMENDATION SYSTEM FOR MOVIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.b819-b835, July-2022, Available :http://www.jetir.org/papers/JETIR2207200.pdf

"IMPLEMENTATION OF HYBRID RECOMMENDATION SYSTEM FOR MOVIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppb819-b835, July-2022, Available at : http://www.jetir.org/papers/JETIR2207200.pdf