Towards Minimal Necessary Data: The Case for Analyzing Training Data Requirements of Recommender Algorithms
Publication year
2017Publisher
Boise : ScholarWorks
In
Ekstrand, M. (ed.), FATREC'17: Fairness, Accountability and Transparency in Recommender Systems, 31 August 2017, Como, Italy, pp. 1-6Annotation
FATREC’17: Fairness, Accountability and Transparency in Recommender Systems, 31 August 2017, Como, Italy
Publication type
Article in monograph or in proceedings
Display more detailsDisplay less details
Editor(s)
Ekstrand, M.
Organization
Data Science
Communicatie- en informatiewetenschappen
Book title
Ekstrand, M. (ed.), FATREC'17: Fairness, Accountability and Transparency in Recommender Systems, 31 August 2017, Como, Italy
Page start
p. 1
Page end
p. 6
Subject
Data Science; Language & CommunicationThis item appears in the following Collection(s)
- Academic publications [238441]
- Electronic publications [122520]
- Faculty of Arts [29387]
- Faculty of Science [34986]
- Open Access publications [97515]
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