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Author:- Raj Mehrotra
Date:- 06-10-2018
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The Movielens 100K dataset. The dataset contains of around 1lac ratings given to about 9066 movies by around 671 users.
I have implemented Collaborative Filtering using Matrix Factorization with Keras Embeddings to predict the unknown ratings. Also I have used a NN to make predictions.
Finally I have tried to minimize the Mean squared Error on the training set. I have achieved a decent validation loss of 0.84.