Showing 5 open source projects for "recommendation"

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  • 1
    Errbit

    Errbit

    The open source error catcher that's Airbrake API compliant

    ... appear in the UI as different occurences of the same error and notices with differing fingerprints are displayed as separate errors. Following the recommendation of 12factor.net, Errbit takes all of its configuration from environment variables. You can use dotenv, which is included in the Gemfile, to fill in any values that you can't or won't supply through the environment.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2

    pkg_version-zypper.rb

    script to ease managing package upgrades in openSUSE

    ... of programs for no big reason (usually) and do it only when programs in repository has been updated. NB! It is not an official recommendation to do so as packages have their version number for a reason! I personally have been ignoring RPM versions for years and have not been into any trouble because of that. Usually you'd want to use the script as: sudo ./pkg_version-zypper.rb -f '<' -r -u But you can also take package versions into account: sudo ./pkg_version-zypper.rb -f '<' -r -u -p
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Prastava (hindi for "suggestion") - a generic open source recommendation system built entirely in ruby. This system gives recommendations to users on the basis of their past likings (ratings of items) and an item file(for content based similarity).
    Downloads: 0 This Week
    Last Update:
    See Project
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  • 5
    This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.
    Downloads: 0 This Week
    Last Update:
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