Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recom- mendation algorithms in 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.
For Usage and Instructions checkout the Crab Wiki
The project was started in 2010 by Marcel Caraciolo as a M.S.C related project, and since then many people interested joined to help in the project. It is currently maintained by a team of volunteers, members of the Muriçoca Labs.
Marcel Caraciolo (email@example.com)
Bruno Melo (firstname.lastname@example.org)
Ricardo Caspirro (email@example.com)
Rodrigo Alves (firstname.lastname@example.org)
Please submit bugs you might encounter, as well Patches and Features Requests to the Issues Tracker located at GitHub.
If you want to submit a patch to this project, it is AWESOME. Follow this guide:
- Fork Crab
- Make your alterations and commit
- Create a topic branch - git checkout -b my_branch
- Push to your branch - git push origin my_branch
- Create a Pull Request from your branch.
- You just contributed to the Crab project!
Please check our Wiki wiki, for further information on how to start developing or use Crab in your projects.
Copyright (c) 2011, Muriçoca Labs
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the Muriçoca Labs nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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