https://recsyswiki.com/index.php?title=Crab&feed=atom&action=history
Crab - Revision history
2024-03-29T07:57:03Z
Revision history for this page on the wiki
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Zeno Gantner at 15:08, 3 February 2012
2012-02-03T15:08:38Z
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<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 15:08, 3 February 2012</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td>
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<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''Crab''' is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (Numpy, Scipy , Matplotlib). The engine aims primarily to provide a rich set of components from which you can construct a customized recommender system from a set of algorithms. It is designed for scability, flexibility and performance making use of scientific optimized python packages in order to provide simple and efficient solutions pluggable that are accessible to everybody and reusable in various contexts: science and engineering. </div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''Crab''' is a flexible, fast recommender engine for <ins class="diffchange diffchange-inline">[[</ins>Python<ins class="diffchange diffchange-inline">]] </ins>that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (Numpy, Scipy , Matplotlib). The engine aims primarily to provide a rich set of components from which you can construct a customized recommender system from a set of algorithms. It is designed for scability, flexibility and performance making use of scientific optimized python packages in order to provide simple and efficient solutions pluggable that are accessible to everybody and reusable in various contexts: science and engineering. </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Concept ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Concept ==</div></td></tr>
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Zeno Gantner
https://recsyswiki.com/index.php?title=Crab&diff=595&oldid=prev
Marcelcaraciolo: /* External links */
2011-07-30T04:43:15Z
<p><span dir="auto"><span class="autocomment">External links</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 04:43, 30 July 2011</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l14" >Line 14:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://github.com/muricoca/crab official website</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://github.com/muricoca/crab official website</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://www.slideshare.net/marcelcaraciolo/crab-a-python-framework-for-building-recommendation-systems Presentation about Crab</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* http://www.slideshare.net/marcelcaraciolo/crab-a-python-framework-for-building-recommendation-systems Presentation about Crab</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* http://www.archive.org/details/Thursday-203-1-CrabARecommendationEngineFrameworkForPython Video Lecture about Crab at Scipy Conference 2011</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
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Marcelcaraciolo
https://recsyswiki.com/index.php?title=Crab&diff=594&oldid=prev
Marcelcaraciolo: /* Currently in Development */
2011-07-30T04:36:39Z
<p><span dir="auto"><span class="autocomment">Currently in Development</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 04:36, 30 July 2011</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">* Support for Data Models (text files and Dictionary Models)</del></div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>*Collaborative Filtering methods: Item-Based and User-Based.</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">* Support for commonly used pairwise metrics such as Cosine, Pearson, Euclidean, Tanimoto, etc.</del></div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* Support to FileDataModels</ins></div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline">* Base interfaces for Similarities and Recommenders</del></div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Collaborative Filtering methods: Item-Based and User-Based.</div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2"> </td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== External links ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== External links ==</div></td></tr>
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Marcelcaraciolo
https://recsyswiki.com/index.php?title=Crab&diff=506&oldid=prev
Marcelcaraciolo at 19:27, 9 June 2011
2011-06-09T19:27:29Z
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<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 19:27, 9 June 2011</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== External links ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== External links ==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://github.com/muricoca/crab official website</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* https://github.com/muricoca/crab official website</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* http://www.slideshare.net/marcelcaraciolo/crab-a-python-framework-for-building-recommendation-systems Presentation about Crab</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
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Marcelcaraciolo
https://recsyswiki.com/index.php?title=Crab&diff=505&oldid=prev
Marcelcaraciolo at 19:05, 9 June 2011
2011-06-09T19:05:17Z
<p></p>
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<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 19:05, 9 June 2011</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Concept ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Concept ==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The engine is open-source by BSD license and takes user's preferences for items and returns estimated preferences for other items. For instance, a web site that sells movies could easily use Crab to figure out, from past purchase data, which movies a customer might be interested in watching to. Technically, Crab would work as a toolkit with several recommender algorithms and extensible interfaces as also with support to data models such as databases, text files, etc. The output can be easily in a future release provided by web services via REST or SOAP. Another important feature is to give the machine learning developer <del class="diffchange diffchange-inline">to </del>evaluate by using perfomance metrics widely used in the recommenders field as well as to implement <del class="diffchange diffchange-inline">their </del>custom recommender algorithms <del class="diffchange diffchange-inline">by using Crab's base interfaces</del>.</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The engine is open-source by BSD license and takes user's preferences for items and returns estimated preferences for other items. For instance, a web site that sells movies could easily use Crab to figure out, from past purchase data, which movies a customer might be interested in watching to. Technically, Crab would work as a toolkit with several recommender algorithms and extensible interfaces as also with support to data models such as databases, text files, etc. The output can be easily in a future release provided by web services via REST or SOAP. Another important feature is to give the machine learning developer <ins class="diffchange diffchange-inline">the tools for </ins>evaluate <ins class="diffchange diffchange-inline">the techniques </ins>by using perfomance metrics widely used in the recommenders field as well as <ins class="diffchange diffchange-inline">providing the base interfaces in order </ins>to implement custom recommender algorithms.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
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Marcelcaraciolo
https://recsyswiki.com/index.php?title=Crab&diff=504&oldid=prev
Marcelcaraciolo: Crab: A Python Framework for Building Recommender Engines
2011-06-09T18:57:53Z
<p>Crab: A Python Framework for Building Recommender Engines</p>
<p><b>New page</b></p><div>'''Crab''' is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (Numpy, Scipy , Matplotlib). The engine aims primarily to provide a rich set of components from which you can construct a customized recommender system from a set of algorithms. It is designed for scability, flexibility and performance making use of scientific optimized python packages in order to provide simple and efficient solutions pluggable that are accessible to everybody and reusable in various contexts: science and engineering. <br />
<br />
== Concept ==<br />
<br />
The engine is open-source by BSD license and takes user's preferences for items and returns estimated preferences for other items. For instance, a web site that sells movies could easily use Crab to figure out, from past purchase data, which movies a customer might be interested in watching to. Technically, Crab would work as a toolkit with several recommender algorithms and extensible interfaces as also with support to data models such as databases, text files, etc. The output can be easily in a future release provided by web services via REST or SOAP. Another important feature is to give the machine learning developer to evaluate by using perfomance metrics widely used in the recommenders field as well as to implement their custom recommender algorithms by using Crab's base interfaces.<br />
<br />
<br />
== Currently in Development ==<br />
<br />
* Support for Data Models (text files and Dictionary Models)<br />
* Support for commonly used pairwise metrics such as Cosine, Pearson, Euclidean, Tanimoto, etc.<br />
* Base interfaces for Similarities and Recommenders<br />
* Collaborative Filtering methods: Item-Based and User-Based.<br />
<br />
<br />
== External links ==<br />
* https://github.com/muricoca/crab official website<br />
<br />
[[Category:Software]]</div>
Marcelcaraciolo