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A Python scikit for building and analyzing recommender systems

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Surprise

Overview

This consists in my variant of the Surprise library. I have added several functionalities that might not be fully documented or tested beyond my current use. Use at your own risk! For more info about the original library refer to README_SURPRISE.md.

Added functionalities

The added functionalities consist in the possibility to add user or item features, and sample weights. New accuracy metrics and prediction algorithms are also provided. The current examples do not include these new functionnalities.

TODO

  • Update documentation.
  • Update examples.
  • Update tests.

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A Python scikit for building and analyzing recommender systems

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