# Crab - A Recommendation Engine library for Python
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.
## Usage
For Usage and Instructions checkout the [Crab Wiki](https://github.com/muricoca/crab/wiki)
## History
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.
## Authors
Marcel Caraciolo (marcel@muricoca.com)
Bruno Melo (bruno@muricoca.com)
Ricardo Caspirro (ricardo@muricoca.com)
Rodrigo Alves (rodrigo@muricoca.com)
## Bugs, Feedback
Please submit bugs you might encounter, as well Patches and Features Requests to the [Issues Tracker](https://github.com/muricoca/crab/issues) located at GitHub.
## Contributions
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](http://help.github.com/pull-requests/) from your branch.
* You just contributed to the Crab project!
## Wiki
Please check our [Wiki](https://github.com/muricoca/crab/wiki "Crab Wiki") wiki, for further information on how to start developing or use Crab in your projects.
## LICENCE (BSD)
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.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL MURIÇOCA LABS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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推荐系统相似度python.zip (74个子文件)
crab-master
scikits
__init__.py 0B
crab
recommenders
base.py 531B
__init__.py 0B
knn
base.py 5KB
item_strategies.py 2KB
__init__.py 63B
classes.py 26KB
neighborhood_strategies.py 5KB
tests
test_item_strategies.py 3KB
test_neighborhood_strategies.py 4KB
__init__.py 0B
test_classes.py 26KB
svd
base.py 1KB
__init__.py 0B
classes.py 14KB
tests
__init__.py 0B
test_classes.py 11KB
utils
extmath.py 1KB
testing.py 405B
__init__.py 3KB
models
base.py 6KB
utils.py 239B
__init__.py 87B
classes.py 25KB
tests
__init__.py 0B
test_models.py 17KB
base.py 3KB
metrics
sampling.py 3KB
cross_validation.py 10KB
base.py 2KB
pairwise.py 18KB
__init__.py 429B
metrics.py 10KB
classes.py 25KB
tests
test_pairwise.py 12KB
__init__.py 0B
test_metrics.py 4KB
test_cross_validation.py 2KB
test_classes.py 12KB
similarities
base.py 3KB
basic_similarities.py 10KB
__init__.py 63B
tests
test_basic_similarities.py 30KB
__init__.py 0B
test_base.py 570B
__init__.py 1KB
datasets
base.py 7KB
book_crossing.py 5KB
__init__.py 157B
descr
sample_songs.rst 213B
book-crossing.rst 2KB
movielens100k.rst 6KB
sample_movies.rst 202B
data
movielens100k.data 1.89MB
sample_songs.csv 1KB
movielens100k.item 231KB
sample_movies.csv 1KB
tests
__init__.py 0B
test_base.py 2KB
data
BX-Books.csv 27KB
BX-Book-Ratings.csv 3KB
tests
__init__.py 0B
test_base.py 555B
COPYING 2KB
doc
make.bat 4KB
conf.py 7KB
index.rst 415B
Makefile 4KB
AUTHORS.rst 767B
examples
README.txt 0B
LICENCE 1KB
setup.py 2KB
README.md 3KB
.gitignore 90B
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