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Update README.md
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README.md
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tags:
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- collaborative-filtering
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- recommender
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license:
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- cc0-1.0
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---
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## Tensorflow Keras Implementation of Collaborative Filtering for Movie Recommendations
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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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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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tags:
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- collaborative-filtering
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- recommender
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- structured-data-classification
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license:
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- cc0-1.0
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---
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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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## 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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