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Constructing a personalized recommender system for life insurance products with machine-learning techniques

Kong, Hyeongwoo; Yun, Wonje; Joo, Weonyoung; Kim, Ju Hyun; … - In: Intelligent systems in accounting, finance & management 29 (2022) 4, pp. 242-253

Persistent link: https://www.econbiz.de/10014245474

E-commerce personalized recommendations : a deep neural collaborative filtering approach

Messaoudi, Fayçal; Loukili, Manal - In: Operations research forum 5 (2024) 1, pp. 1-25

Persistent link: https://www.econbiz.de/10014517523

My Mobile Music: An Adaptive Personalization System for Digital Audio Players

Chung, Tuck Siong; Rust, Roland T.; Wedel, Michel - In: Marketing Science 28 (2009) 1, pp. 52-68

propose an “Adaptive Personalization System” and illustrate its implementation for digital audio players, a product category … personalization applications. A simulation study shows the Adaptive Personalization System to outperform benchmark approaches. We … implemented the Adaptive Personalization System on Palm PDAs and tested its performance with digital audio users. For actual users …

Persistent link: https://www.econbiz.de/10008787745

School to go: Neues Lernen im Social-Media-Stil

Eckle, Jannick; Jungfleisch, Anne; Stattkus, Daniel; … - In: HMD Praxis der Wirtschaftsinformatik 58 (2021) 6, pp. 1469-1482

Mit dem pandemiebedingten ersten Lockdown im März 2020 hat das digitale Lernen einen enormen Aufschwung erfahren. Mit der Initiative "School to go" wird in Zeiten bundesweiter Schulschließungen ein relevanter Beitrag zur digitalen Bildung für Schülerinnen und Schüler, Eltern, Lehrkräfte...

Persistent link: https://www.econbiz.de/10014501539

Decision biases in recommender systems

Teppan, Erich Christian; Zanker, Markus - In: Journal of internet commerce 14 (2015) 2, pp. 255-275

Persistent link: https://www.econbiz.de/10011432426

Leveraging prior ratings for recommender systems in e-commerce

Guo, Guibing; Zhang, Jie; Thalmann, Daniel; … - In: Electronic commerce research and applications 13 (2014) 6, pp. 440-455

Persistent link: https://www.econbiz.de/10011349107

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

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

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

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