An easier and fastest way to get recommended Bengali movies for the movie enthusiasts.

What is it about?

A movie recommendation system can provide a helpful solution to the problem of searching for preferred movies from a vast array of options. By utilizing such a system, one can easily discover movies that match their preferences, which saves time and reduces stress associated with the search process. As a result, it is essential that the system for suggesting movies to us is very trustworthy and gives us recommendations for the films that are either most similar to or identical to our tastes.

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Photo by Jakob Owens on Unsplash

Photo by Jakob Owens on Unsplash

Why is it important?

In this fast-paced world, it is important for each individual to have some form of entertainment that can help them rejuvenate and regain their energy. The reliance we acquire from entertainment allows us to work harder and enthusiastically. This movie recommendation system is established using K-Nearest Neighbour and cosine similarity. The cosine similarity method is capable of bringing together documents that are similar, even if they have a large Euclidean distance between them because of their size. Moreover, the KNN algorithm, which is highly accurate in making predictions, can compete with other precise models. It is utilized to identify groups of individuals with similar movie rating preferences, and predictions are computed by taking an average of the highest k neighboring ratings.