Tavakolifard, M., Gulla, J. A., Almeroth, K. C., Hopfgartner, F. , Kille, B., Plumbaum, T., Lommatzsch, A., Brodt, T., Bucko, A. and Heintz, T. (2013) Workshop and challenge on news recommender systems. In: RecSys'13: Proceedings of the International ACM Conference on Recommender Systems, Hong Kong, China, 12-16 Oct 2013, pp. 481-482. ISBN 9781450324090 (doi: 10.1145/2507157.2508004)
Full text not currently available from Enlighten.
Publisher's URL: http://dx.doi.org/10.1145/2507157.2508004
Abstract
Recommending news articles entails additional requirements to recommender systems. Such requirements include special consumption patterns, fluctuating itemcollections, and highly sparse user profiles. This workshop (NRS'13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we offered a challenge allowing participants to evaluate their recommendation algorithms with actual user feedback.
Item Type: | Conference Proceedings |
---|---|
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Hopfgartner, Dr Frank |
Authors: | Tavakolifard, M., Gulla, J. A., Almeroth, K. C., Hopfgartner, F., Kille, B., Plumbaum, T., Lommatzsch, A., Brodt, T., Bucko, A., and Heintz, T. |
College/School: | College of Arts & Humanities > School of Humanities > Information Studies |
Publisher: | ACM |
ISBN: | 9781450324090 |
University Staff: Request a correction | Enlighten Editors: Update this record