AI in Entertainment – Movie Recommendation using cosine similarity
Karan Shah, Bhavna Arora, Aliraza Shinde, Shreyas Vaghasia · 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA · 2022
This age of information brings in a huge amount of data and combined with the number of options available on the internet, it becomes a huge problem in choosing a single thing. This is an example of the saying finding a needle in the haystack. The solution for that is using a magnet to attract the needle, the magnet in this case is a good recommendation system. A recommendation system is a tool that can help a user find the best option for the wide variety of options available. Nowadays every application we use is controlled by a recommendation system. Many platforms like Amazon Prime, Voot, ZEE5, which suggest movies, Zomato which suggests food, Spotify, Wynk, Hungama Music which suggests music, Airbnb, Trivago which suggests hotels and policy bazaar which recommends policy. In this project, we used Cosine similarity for a movie recommendation. Cosine similarity is a distance calculation metric that will tell us the distance between two items if the cosine of the angle between them is small it means that the items are close to each other and vice versa.