Recommender Systems and their Effects on Consumers: The Fragmentation Debate
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Cited by:
- Srivastava, Abhishek & Bala, Pradip Kumar & Kumar, Bipul, 2020. "New perspectives on gray sheep behavior in E-commerce recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
- Kartik Hosanagar & Daniel Fleder & Dokyun Lee & Andreas Buja, 2014. "Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation," Management Science, INFORMS, vol. 60(4), pages 805-823, April.
- Agam Gupta & Biswatosh Saha & Uttam K. Sarkar, 2017. "Emergent Heterogeneity in Keyword Valuation in Sponsored Search Markets: A Closer-to-Practice Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 687-710, December.
- Hong Jun Huang & Jun Yang & Benrong Zheng, 2021. "Demand effects of product similarity network in e-commerce platform," Electronic Commerce Research, Springer, vol. 21(2), pages 297-327, June.
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More about this item
Keywords
recommender systems; collaborative filtering; fragmentation; personalization; long tail;All these keywords.
JEL classification:
- O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
NEP fields
This paper has been announced in the following NEP Reports:- NEP-MKT-2009-01-17 (Marketing)
- NEP-NET-2009-01-17 (Network Economics)
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