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Sponsored by
Tripo AI
keras-io / collaborative-filtering-movielens
Model's Last Updated: July 05 2024
tabular-classification
Introduction of collaborative-filtering-movielens
Model Details of collaborative-filtering-movielens
Model description
This repo contains the model and the notebook on how to build and train a Keras model for Collaborative Filtering for Movie Recommendations .
Full credits to Siddhartha Banerjee .
Intended uses & limitations
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.
Training and evaluation data
The dataset consists of user's ratings on specific movies. It also consists of the movie's specific genres.
Training procedure
The model was trained for 5 epochs with a batch size of 64.
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training Metrics
| Epochs | Train Loss | Validation Loss |
|---|---|---|
| 1 | 0.637 | 0.619 |
| 2 | 0.614 | 0.616 |
| 3 | 0.609 | 0.611 |
| 4 | 0.608 | 0.61 |
| 5 | 0.608 | 0.609 |
Model Plot
View Model Plot
Runs of keras-io collaborative-filtering-movielens on huggingface.co
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More Information About collaborative-filtering-movielens huggingface.co Model
Url of collaborative-filtering-movielens
collaborative-filtering-movielens huggingface.co Url
Provider of collaborative-filtering-movielens huggingface.co
Other API from keras-io
Updated:February 22 2022
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