Skip to content

omrishiv/coletivo

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

coletivo

A simple Rails 3 recommendations engine. Coletivo uses Euclidean Distance or Pearson’s Correlation Coefficient to calculate the similarity between persons and their preferences.

Installation:

sudo gem install coletivo
rails g coletivo
rake db:migrate

Usage:

At your Rails model that represents a person (can be an User, Member, or something like that):

class User < ActiveRecord::Base
  has_own_preferences

  # ...
end

So, a person can rate things:

current_user = User.create(:name => 'Diogenes')
movie = Movie.create(:name => 'The Tourist', :year => 2010)

current_user.rate!(movie, 4.5)

And after a lot of ratings… recommendations:

Movie.find_recommendations_for(current_user) # => movies and more movies...

By default, the similarity strategy used is Euclidean Distance, but you can change that passing the strategy option:

Movie.find_recommendations_for(current_user, :strategy => :pearson)

Contributing to coletivo

  • Check out the latest master to make sure the feature hasn’t been implemented or the bug hasn’t been fixed yet

  • Check out the issue tracker to make sure someone already hasn’t requested it and/or contributed it

  • Fork the project

  • Start a feature/bugfix branch

  • Commit and push until you are happy with your contribution

  • Make sure to add tests for it. This is important so I don’t break it in a future version unintentionally.

  • Please try not to mess with the Rakefile, version, or history. If you want to have your own version, or is otherwise necessary, that is fine, but please isolate to its own commit so I can cherry-pick around it.

Copyright © 2011 Diógenes Falcão. See LICENSE.txt for further details.

About

A simple Rails 3 recommendations engine

Resources

License

Stars

Watchers

Forks

Packages

No packages published