User Preference Heterogeneity
User Preference Heterogeneity is a construct in diversity-aware recommendation systems that captures the variation in individual users' item valuation patterns across different contexts, thereby distinguishing it from aggregate population-level preference models by emphasizing idiosyncratic, fine-grained differences in user-level tastes and decision-making criteria.
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4.9K
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2017–2026
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Internet Recommendation Systems
Asim Ansari, Skander Essegaier, Rajeev Kohli · Journal of Marketing Research · 2000 · 718 citations
User Heterogeneity and its Impact on Electronic Auction Market Design: An Empirical Exploration1
Ravi Bapna, Goes, Alok Gupta et al. · MIS Quarterly · 2004 · 342 citations
Yan Su · Telematics and Informatics · 2020 · 137 citations · Full text
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Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 161 citations
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Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
5 publications
247 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
7 publications
270 citations

Universidad Autónoma de Madrid
Madrid, Spain
3 h-index
5 publications
502 citations
Kyung Hee University
Seoul, South Korea
3 h-index
4 publications
99 citations
University of Pittsburgh
Pittsburgh, United States
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3 publications
343 citations

University of Calabria
Rende, Italy
2 h-index
6 publications
414 citations

Zhejiang University
Hangzhou, China
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11 publications
232 citations

Hefei University of Technology
Hefei, China
2 h-index
6 publications
162 citations
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TRPRO · 2 publications · 32 citations
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