Escaping from the Filter Bubble? The Effects of Novelty and Serendipity on Users’ Evaluations of Online Recommendations
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Cited by:
- Annelien Smets & Jorre Vannieuwenhuyze & Pieter Ballon, 2022. "Serendipity in the city: User evaluations of urban recommender systems," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(1), pages 19-30, January.
- Claudiu-Catalin Munteanu & Adina Cristea, 2021. "A Methodological Approach for the Journey through Real-Time Marketing: From Customer Journey Analytics to Personalization Engines," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 849-855, December.
- Sayooran Nagulendra & Julita Vassileva, 2016. "Providing awareness, explanation and control of personalized filtering in a social networking site," Information Systems Frontiers, Springer, vol. 18(1), pages 145-158, February.
- Wu, Kewen & Vassileva, Julita & Zhao, Yuxiang & Noorian, Zeinab & Waldner, Wesley & Adaji, Ifeoma, 2016. "Complexity or simplicity? Designing product pictures for advertising in online marketplaces," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 17-27.
- Christian Matt & Manuel Trenz & Christy M. K. Cheung & Ofir Turel, 2019. "The digitization of the individual: conceptual foundations and opportunities for research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 315-322, September.
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