Difference between revisions of "Ruby"
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== Ruby recommender system resources == | == Ruby recommender system resources == | ||
* [[Ruby on Rails]] contains information about using recommender systems with this web application framework. | * [[Ruby on Rails]] contains information about using recommender systems with this web application framework. | ||
| − | * If you use JRuby, you can use [[Mahout]], [[LensKit]], and other libraries implemented on the JVM. | + | * If you use JRuby, you can use [[Mahout]], [[LensKit]], and other libraries implemented on the [[JVM]]. |
* [[MyMediaLite]] can be called from IronPython: http://ismll.de/mymedialite/documentation/use_from_ruby.html | * [[MyMediaLite]] can be called from IronPython: http://ismll.de/mymedialite/documentation/use_from_ruby.html | ||
| + | * [[recommendify]] [https://github.com/paulasmuth/recommendify] is a recommender based on Ruby and [[Redis]] | ||
* [http://blog.chrislowis.co.uk/2008/11/24/ruby-gsl-pearson.html Implementing the Pearson correlation algorithm using Ruby and the GNU Scientific Library] by Chris Lowis | * [http://blog.chrislowis.co.uk/2008/11/24/ruby-gsl-pearson.html Implementing the Pearson correlation algorithm using Ruby and the GNU Scientific Library] by Chris Lowis | ||
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[[Category: Programming language]] | [[Category: Programming language]] | ||
| − | [[Category: Ruby]] | + | [[Category: Ruby| ]] |
Latest revision as of 05:51, 11 July 2012
Ruby is a programming language with several implementations. Besides the standard runtime, there is JRuby, which runs on the JVM, and IronPython, which runs on .NET and Mono.
Ruby recommender system resources
- Ruby on Rails contains information about using recommender systems with this web application framework.
- If you use JRuby, you can use Mahout, LensKit, and other libraries implemented on the JVM.
- MyMediaLite can be called from IronPython: http://ismll.de/mymedialite/documentation/use_from_ruby.html
- recommendify [1] is a recommender based on Ruby and Redis
- Implementing the Pearson correlation algorithm using Ruby and the GNU Scientific Library by Chris Lowis
