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. ISBN 9781450336925 (doi: 10.1145/2792838.2792839)
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107702.pdf - Accepted Version 313kB |
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 |
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| 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 & Humanities > School of Humanities > Information Studies |
| ISBN: | 9781450336925 |
| Related URLs: |
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