TY - GEN
T1 - Urbanity
T2 - 26th ACM International Conference on Information and Knowledge Management, CIKM 2017
AU - Liu, Mengxiong
AU - Liu, Zhengchao
AU - Zhang, Chao
AU - Zhang, Keyang
AU - Yuan, Quan
AU - Hanratty, Tim
AU - Han, Jiawei
PY - 2017/11/6
Y1 - 2017/11/6
N2 - With the urbanization process worldwide, modeling the dynamics of people's activities in urban environments has become a crucial socioeconomic task. We present Urbanity, a novel system that leverages geo-tagged social media streams for modeling urban dynamics. Urbanity automatically discovers the spatial and temporal hotspots where people's activities concentrate; and captures the cross-modal correlations among location, time, and text by jointly mapping different units into the same latent space. With Urbanity, the end users are able to use flexible query schemes to retrieve different resources (e.g., POIs, hotspots, hours, activities) that meet their needs. Furthermore, Urbanity can handle continuous streams to update the learned model, thus revealing up-to-date patterns of urban activitiec 2017 Association for Computing Machinery.
AB - With the urbanization process worldwide, modeling the dynamics of people's activities in urban environments has become a crucial socioeconomic task. We present Urbanity, a novel system that leverages geo-tagged social media streams for modeling urban dynamics. Urbanity automatically discovers the spatial and temporal hotspots where people's activities concentrate; and captures the cross-modal correlations among location, time, and text by jointly mapping different units into the same latent space. With Urbanity, the end users are able to use flexible query schemes to retrieve different resources (e.g., POIs, hotspots, hours, activities) that meet their needs. Furthermore, Urbanity can handle continuous streams to update the learned model, thus revealing up-to-date patterns of urban activitiec 2017 Association for Computing Machinery.
UR - http://www.scopus.com/inward/record.url?scp=85037340802&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85037340802&partnerID=8YFLogxK
U2 - 10.1145/3132847.3133177
DO - 10.1145/3132847.3133177
M3 - Conference contribution
AN - SCOPUS:85037340802
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 2503
EP - 2506
BT - CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 6 November 2017 through 10 November 2017
ER -