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Who predicts better?: results from an online study comparing humans and an online recommender system
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Authors:
Vinod Krishnan
University of Minnesota-Twin Cities, Minneapolis, MN, USA
Pradeep Kumar Narayanashetty
University of Minnesota-Twin Cities, Minneapolis, MN, USA
Mukesh Nathan
University of Minnesota-Twin Cities, Minneapolis, MN, USA
Richard T. Davies
University of Minnesota-Twin Cities, Minneapolis, MN, USA
Joseph A. Konstan
University of Minnesota-Twin Cities, Minneapolis, MN, USA
2008 Article
Poster
Bibliometrics
· Downloads (6 Weeks): 15
· Downloads (12 Months): 122
· Downloads (cumulative): 661
· Citation Count: 2
Published in:
· Proceeding
RecSys '08
Proceedings of the 2008 ACM conference on Recommender systems
Pages 211-218
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-093-7
doi>
10.1145/1454008.1454042
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RecSys '13
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Tags:
collaborative computing
computer-supported cooperative work
evaluation/methodology
human factors
human recommenders
mae
movielens
predictions
recommender evaluation
recommender systems
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