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Enhancement of the Neutrality in Recommendation Toshihiro Kamishima, Shotaro Akaho, and Hideki Asoh National Institute of Advanced Industrial Science and Technology (AIST) AIST Tsukuba Central 2, Umezono 1-1-1,
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Document Date: 2012-09-08 17:28:10


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City

Dublin / /

Company

Large-Scale Recommender Systems / Netflix / John Wiley & Sons / Recommender Systems / /

Country

Egypt / Japan / Ireland / /

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Facility

Ireland Jun Sakuma University of Tsukuba / Hideki Asoh National Institute of Advanced Industrial Science / /

IndustryTerm

experimental and practical systems / e-commerce sites / privacy-preserving data mining / fairness-aware mining / personalization technology / E-commerce recommendation applications / personalized search engines / fairness/discrimination-aware mining / Fairness/discriminationaware mining / e - commerce / personalization technologies / Internet merchandizing / Discrimination-aware data mining / fairness-aware mining technique focuses / information neutral recommendation algorithm / /

Movie

The ugly duckling / /

MusicGroup

O / /

Organization

University of Tsukuba / Japan Science and Technology Agency / Hideki Asoh National Institute of Advanced Industrial Science and Technology / /

Person

J. Riedl / A. Jameson / N. Iacovou / N. Ziegler / S. M. McNee / J. Ben Schafer / P. Resnick / J. A. Konstan / Shotaro Akaho / G. Lausen / P. Bergstrom / H. R. Varian / M. Suchak / J. Konstan / Hideki Asoh / /

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Position

advocate / latent factor model for predicting ratings / /

Product

Powell / /

PublishedMedium

Communications of The ACM / Journal of Machine Learning Research / /

Technology

personalization technologies / information neutral recommendation algorithm / solution algorithm / data mining / Machine Learning / simulation / personalization technology / /

URL

www.scipy.org/i / www.grouplens.org/i / http /

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