论文信息 - Real-time Recommendation of Streamed Data

Real-time Recommendation of Streamed Data

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.

Frank Hopfgartner | Roberto Turrin | Benjamin Kille | Tobias Heintz

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