Recommendation Engine Service API

Apache Mahout recommendations (http://mahout.apache.org/) as a RESTful web service served with dropwizard (http://www.dropwizard.io/).

Requirements

• Java 1.7
• Postgres database server (required)
• Ratings table or view like "user_id, item_id, rating ..."

Setup

• Setup config.yml with your settings
• build project (I used NetBeans)
• Run jar: java -jar RecommendationEngine-VERSION.jar server your_config.yml

Get Requests

• http://localhost:9000/recommendation/user/{userId}/{howMany}
• http://localhost:9000/recommendation/item/{itemId}/{howMany}
• http://localhost:9000/datamodel/update/ refreshes the datamodel for new user-item pairs

TODO

• Make dataSource adaptable for other database servers
• Updating dataModel with different algorithm at runtime or create endpoints for all or some algorithms
• Authorization/Authentication
• Dropwizard health-checks

Thanks

To google and these posts: https://chameerawijebandara.wordpress.com/2014/01/15/simple-recommendation-system-with-mahout-and-netbeans/ http://xorlev.com/blog/2012/09/30/web-machine-learning/