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Inferring the character of urban commercial areas from age-..:
, In:
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
,
Lee, David
;
Lee, Seolha
- p. 991-995 , 2019
Link:
https://dl.acm.org/doi/10.1145/3341162.3349322
RT T1
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
: T1
Inferring the character of urban commercial areas from age-biased online search results : how place recommendation data can reveal dynamic seoul neighborhoods
UL https://suche.suub.uni-bremen.de/peid=acm-3349322&Exemplar=1&LAN=DE A1 Lee, David A1 Lee, Seolha PB ACM YR 2019 K1 gentrification K1 online search behavior K1 point-of-interest recommendation K1 urban economy K1 Human-centered computing K1 Visualization K1 Visualization application domains K1 Geographic visualization K1 Applied computing K1 Law, social and behavioral sciences K1 Economics K1 Social and professional topics K1 User characteristics K1 Age SP 991 OP 995 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341162.3349322 DO https://dl.acm.org/doi/10.1145/3341162.3349322 SF ELIB - SuUB Bremen
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