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Do recommender systems manipulate consumer preferences? : a study of anchoring effects
Adomavicius, Gediminas; Bockstedt, Jesse C.; Curley, … - In: Information systems research : ISR 24 (2013) 4, pp. 956-975
Persistent link: https://www.econbiz.de/10010228985
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Classification, ranking, and top-K stability of recommendation algorithms
Adomavicius, Gediminas; Zhang, Jingjing - In: INFORMS journal on computing : JOC 28 (2016) 1, pp. 129-147
Persistent link: https://www.econbiz.de/10011453808
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Effects of personalized recommendations versus aggregate ratings on post-consumption preference responses
Adomavicius, Gediminas; Bockstedt, Jesse C.; Curley, … - In: MIS quarterly 46 (2022) 1, pp. 627-644
Persistent link: https://www.econbiz.de/10013286254
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Understanding the impact of individual users' rating characteristics on the predictive accuracy of recommender systems
Cheng, Xiaoye; Zhang, Jingjing; Yan, Lu - In: INFORMS journal on computing : JOC 32 (2020) 2, pp. 303-320
Persistent link: https://www.econbiz.de/10012242760
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Effects of online recommendations on consumers' willingness to pay
Adomavicius, Gediminas; Bockstedt, Jesse C.; Curley, … - In: Information systems research : ISR 29 (2018) 1, pp. 84-102
Persistent link: https://www.econbiz.de/10011866151
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Reeducing recommender system biases : an investigation of rating display designs
Adomavicius, Gediminas; Bockstedt, Jesse C.; Curley, … - In: Management information systems : mis quarterly 43 (2019) 4, pp. 1321-1341
Persistent link: https://www.econbiz.de/10012172936