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Evaluating Group Recommender Systems
University of Bergen, Norway.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-2929-0529
EURECAT, Spain.
Graz University of Technology, Austria.
2018 (English)In: Group Recommender Systems: An Introduction / [ed] Alexander Felfernig, Ludovico Boratto, Martin Stettinger, Marko Tkalčič, Springer, 2018, p. 59-71Chapter in book (Refereed)
Abstract [en]

In the previous chapters, we have learned how to design group recommender systems but did not explicitly discuss how to evaluate them. The evaluation techniques for group recommender systems are often the same or similar to those that are used for single user recommenders. We show how to apply these techniques on the basis of examples and introduce evaluation approaches that are specifically useful in group recommendation scenarios.

Place, publisher, year, edition, pages
Springer, 2018. p. 59-71
National Category
Other Computer and Information Science
Research subject
Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science
Identifiers
URN: urn:nbn:se:his:diva-15037ISBN: 978-3-319-75067-5 (electronic)ISBN: 978-3-319-75066-8 (print)OAI: oai:DiVA.org:his-15037DiVA, id: diva2:1197249
Available from: 2018-04-12 Created: 2018-04-12 Last updated: 2018-09-03Bibliographically approved

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http://www.springer.com/us/book/9783319750668

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Said, Alan

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  • Other locale
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Output format
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