Real-time Recommendation of Streamed Data

Frank Hopfgartner, Benjamin Kille, Tobias Heintz, Roberto Turrin
2015 Proceedings of the 9th ACM Conference on Recommender Systems  
This tutorial addressed two trending topics in the field of recommender systems research, namely A/B testing and realtime 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.
doi:10.1145/2792838.2792839 fatcat:yqmphirohzaylmodouuiwzcm54