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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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Combining multiple influence strategies to increase consumer compliance
Kaptein, Maurits; Duplinsky, Steven - In: International journal of internet marketing and … 8 (2013) 1, pp. 32-53
Persistent link: https://www.econbiz.de/10010242185
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From accuracy to diversity in product recommendations : relationship between diversity and customer retention
Park, Sung-hyuk; Han, Sang Pil - In: International journal of electronic commerce : IJEC 18 (2013/14) 2, pp. 51-71
Persistent link: https://www.econbiz.de/10010247643
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Inducing customers to try new goods
Acquisti, Alessandro - In: Review of industrial organization : RIO 44 (2014) 2, pp. 131-146
Persistent link: https://www.econbiz.de/10010375280
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Recommender systems : the importance of personalization in e-business environments
Polatidis, Nikolaos; Georgiadis, Christos K. - In: International journal of e-entrepreneurship and … 4 (2013) 4, pp. 32-46
Persistent link: https://www.econbiz.de/10010373452
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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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In CARSs we trust : how context-aware recommendations affect customers’ trust and other business performance measures of recommender systems
Panniello, Umberto; Gorgoglione, Michele; Tuzhilin, … - In: Information systems research : ISR 27 (2016) 1, pp. 182-196
Persistent link: https://www.econbiz.de/10011460186
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Evaluation of user satisfaction with OLAP recommender systems : an application to RecoOLAP on a agricultural energetic consumption datawarehouse
Bimonte, Sandro; Negre, Elsa - In: International journal of business information systems : … 21 (2016) 1, pp. 117-136
Persistent link: https://www.econbiz.de/10011520257
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Experimental evaluation of sequential bias in online customer reviews
Eryarsoy, Enes; Piramuthu, Selwyn - In: Information & management : the internat. journal of … 51 (2014) 8, pp. 964-971
Persistent link: https://www.econbiz.de/10010466522
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The "most popular news" recommender : count amplification and manipulation resistance
Prawesh, Shankar; Padmanabhan, Balaji - In: Information systems research : ISR 25 (2014) 3, pp. 569-589
Persistent link: https://www.econbiz.de/10010469109