prediction_algorithms packageΒΆ
The prediction_algorithms
package includes the prediction algorithms
available for recommendation.
The available prediction algorithms are:
Algorithm predicting a random rating based on the distribution of the training set, which is assumed to be normal. |
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Algorithm predicting the baseline estimate for given user and item. |
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A basic collaborative filtering algorithm. |
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A basic collaborative filtering algorithm, taking into account the mean ratings of each user. |
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A basic collaborative filtering algorithm, taking into account the z-score normalization of each user. |
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A basic collaborative filtering algorithm taking into account a baseline rating. |
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The famous SVD algorithm, as popularized by Simon Funk during the Netflix Prize. |
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The SVD++ algorithm, an extension of |
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A collaborative filtering algorithm based on Non-negative Matrix Factorization. |
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A simple yet accurate collaborative filtering algorithm. |
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A collaborative filtering algorithm based on co-clustering. |
You may want to check the notation standards before diving into the formulas.