Inspiration
i had to make a hack for mlh GHW, thanks to them for helping me achieve this
What it does
it recommends 10 movies based on your selected movie.
How we built it
i used knn algorithm for colaborative filtering, and we implemented the cosine distance in a sparse matrix to check the similarity of the movies.
Challenges we ran into
none
Accomplishments that we're proud of
as it is my first project i was really excited and happy how it turned out.
What we learned
making a basic model using a few libraries.
What's next for Movie Recommender
maybe improve it, make a UI or a website or something, lets see what comes later.
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