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  ## Model description
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- This repo contains the model and the notebook on [how to build and train a Keras model for Collaborative Filtering for Movie Recommendations](https://keras.io/examples/structured_data/collaborative_filtering_movielens/). Full credits to [Siddhartha Banerjee](https://twitter.com/sidd2006).
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- Based on a user and movies they have rated highly in the past, this model outputs the predicted rating a user would give to a movie they haven't seen yet. This information can be used to find out the top recommended movies for this user.
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- The dataset consists of user's ratings on certain movies. It also consists of the movie's specific genres. The model was trained for 5 epochs with a batch size of 64.
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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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  ## Model description
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+ This repo contains the model and the notebook on [how to build and train a Keras model for Collaborative Filtering for Movie Recommendations](https://keras.io/examples/structured_data/collaborative_filtering_movielens/).
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+ Full credits to [Siddhartha Banerjee](https://twitter.com/sidd2006).
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  ## Intended uses & limitations
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+ Based on a user and movies they have rated highly in the past, this model outputs the predicted rating a user would give to a movie they haven't seen yet (between 0-1). This information can be used to find out the top recommended movies for this user.
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  ## Training and evaluation data
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+ The dataset consists of user's ratings on specific movies. It also consists of the movie's specific genres.
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  ## Training procedure
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+ The model was trained for 5 epochs with a batch size of 64.
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  ### Training hyperparameters
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  The following hyperparameters were used during training: