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ORCIDLocalRec@SIGSPATIAL 2021: Virtual Event / Beijing, China
- Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis
:
LocalRec '21: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, Virtual Event / Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9100-9 - Naomi Simumba, Satoshi Masuda, Michiaki Tatsubori:
Spatially and semantically diverse points extraction using hierarchical clustering. 1:1-1:8 - Samiul Islam, Dhruv Gandhi, Justin Elarde, Taylor Anderson, Amira Roess, Timothy F. Leslie, Hamdi Kavak, Andreas Züfle:
Spatiotemporal prediction of foot traffic. 2:1-2:8 - Syagnik Banerjee, Christopher Krebs, Neslihan Bisgin, Halil Bisgin, Murali Mani:
Predicting customer poachability from locomotion intelligence. 3:1-3:4 - Shu Anzai, Taichi Murayama, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
Finding "retro" places in Japan: crowd-sourced urban ambience estimation. 4:1-4:4 - Giannis Evagorou, Abhirup Ghosh, Thomas Heinis:
HYPO: skew-resilient partitioning for trajectory datasets. 5:1-5:10 - Namwoo Kim, Yoonjin Yoon:
Representation learning of urban regions via mobility-signature-based zone embedding: a case study of Seoul, South Korea. 6:1-6:4 - Abhinav Ganesan, Anubhav Gupta, Jose Mathew:
Mining points of interest via address embeddings: an unsupervised approach. 7:1-7:10 - Nicole R. Schneider, Hanan Samet:
Which portland is it?: a machine learning approach. 8:1-8:10 - David Li, Hanan Samet, Amitabh Varshney:
Visualizing accessibility with choropleth maps. 9:1-9:4
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