Crab

A Recommender Framework in Python

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Funding

This project is maintained by Muriçoca Labs, and others.

Muricoca

Crab - Recommender systems in Python

Crab - scikits.recommender: Recommender systems in Python

Crab as known as scikits.recommender is a Python framework for building recommender engines integrated with the world of scientific Python packages (numpy, scipy, matplotlib).

The engine aims to provide a rich set of components from which you can construct a customized recommender system from a set of algorithms and be usable in various contexts: ** science and engineering ** .

Features:
  • Recommender Algorithms: User-Based Filtering and Item-Based Filtering
  • Work in progress: Slope One, SVD, Evaluation of Recommenders.
  • Planed: Sparse Matrices, REST API’s.
License:

Open source, commercially usable: BSD license (3 clause)

Note

This document describes Crab 0.1. For other versions and printable format, see Documentation resources.

This docummentation is for crab version 0.1

© 2011, scikits.recommender Crab developers (BSD License). Created using Sphinx 1.0.7. Design by Web y Limonada
Based on the original design by scikit-learn.