Inspiration
I was fascinated by the use of the recommendation in most user-based applications like Amazon, Netflix, Flipkart, etc.
What it does
It can recommend movies based on the past ratings the user has given to movies he/she has seen. The recommendations are based on cosine-similarity which finds similarity between users who have rated the same movie previously
How we built it
Using python and other python libraries such as Pandas
What we learned
Cosine based similarity algorithm and its role in various kind of recommender systems
What's next for Recommender Engine
Expand its application to recommend more than just movies
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