StreamRec: A Real-Time Recommender System

Badrish Chandramouli, Justin Levandoski, Ahmed Eldawy, Mohamed F. Mokbel

ACM SIGMOD International Conference on Management of Data (SIGMOD 2011) |

Published by ACM SIGMOD

This demonstration proposes StreamRec, a novel approach to building recommender systems that leverages a stream processing system capable of handling an end-to-end recommendation process in order to produce real-time recommendations. We demonstrate several popular collaborative filtering recommendation methods within StreamRec by providing an application scenario that uses StreamRec as the underlying recommendation engine.