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Optimization-based approaches for maximizing aggregate recommendation diversity
Adomavicius, Gediminas; Kwon, YoungOk - In: INFORMS journal on computing : JOC 26 (2014) 2, pp. 351-369
Persistent link: https://www.econbiz.de/10010362437
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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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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
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Consumer acquisition for recommender systems : a theoretical framework and empirical evaluations
Bi, Xuan; Yang, Mochen; Adomavicius, Gediminas - In: Information systems research : ISR 35 (2024) 1, pp. 339-362
Persistent link: https://www.econbiz.de/10014530464