Real-time Recommendation of Streamed Data
Frank Hopfgartner, Benjamin Kille, Tobias Heintz, Roberto Turrin · 2015
This tutorial addressed two trending topics in the field of recommender systems research, namely A/B testing and real-time recommendations of streamed data. Focusing on the news domain, participants learned how to benchmark the performance of stream-based recommendation algorithms in a live recommender system and in a simulated environment.