Implementation Of A Hybrid Recommendation System For Movies

In 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 subclass of an Information Filtering System that seeks to predict the rating or the preference a user might give to an item. The selection of proper datasets and algorithms are the two most important pillars of a recommendation system. This prototype focuses more on content and a 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 any user can display the results.