Real-Time Recommendation of Streamed Data

Hopfgartner, F., Kille, B., Heintz, T. and Turrin, R. (2015) Real-Time Recommendation of Streamed Data. In: Ninth ACM Conference on Recommender Systems, Vienna, Austria, 16-20 Sep 2015, pp. 361-362. (doi:10.1145/2792838.2792839)

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Abstract

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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hopfgartner, Dr Frank
Authors: Hopfgartner, F., Kille, B., Heintz, T., and Turrin, R.
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
College/School:College of Arts > School of Humanities > Humanities Advanced Technology and Information Institute (HATII)
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