PANG, Jun ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Zhang, Yang
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
DeepCity: A Feature Learning Framework for Mining Location Check-Ins
Date de publication/diffusion :
2017
Nom de la manifestation :
11th International Conference on Web and Social Media (ICWSM)
Date de la manifestation :
2017
Manifestation à portée :
International
Titre de l'ouvrage principal :
Proceedings of the 11th International Conference on Web and Social Media (ICWSM'17)
Cho, E.; Myers, S. A.; and Leskovec, J. 2011. Friendship and mobility: User movement in location-based social networks. In KDD.
Falher, G. L.; Gionis, A.; and Mathioudakis, M. 2015. Where is the soho of Rome? Measures and algorithms for finding similar neighborhoods in cities. In ICWSM.
Felbo, B.; Sundsøy, P.; Pentland, A.; Lehmann, S.; and de Montjoye, Y.-A. 2015. Using deep learning to predict demographics from mobile phone metadata. CoRR abs/1511.06660.
Jurgens, D. 2013. That's what friends are for: Inferring location in online social media platforms based on social relationships. In ICWSM.
Kosinski, M.; Stillwell, D.; and Graepel, T. 2013. Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences 110(15).
Manikonda, L.; Hu, Y.; and Kambhampati, S. 2014. Analyzing user activities, demographics, social network structure and user-generated content on Instagram. CoRR abs/1410.8099.
Mikolov, T.; Chen, K.; Corrado, G.; and Dean, J. 2013a. Efficient estimation of word representations in vector space. In ICLR.
Mikolov, T.; Sutskever, I.; Chen, K.; Corrado, G. S.; and Dean, J. 2013b. Distributed representations of words and phrases and their compositionally. In NIPS.
Pang, J., and Zhang, Y. 2015. Location prediction: Communities speak louder than friends. In COSN.
Pang, J., and Zhang, Y. 2016. Quantifying location sociality. CoRR abs/1604.00175.
Perozzi, B.; Al-Rfou, R.; and Skiena, S. 2014. Deepwalk: Online learning of social representations. In KDD.
Quercia, D.; Aiello, L. M.; Schifanella, R.; and Davies, A. 2015. The digital life of walkable streets. In WWW.
Quercia, D.; Schifanella, R.; and Aiello, L. M. 2014. The shortest path to happiness: recommending beautiful, quiet, and happy routes in the city. In HT.
Scellato, S.; Noulas, A.; and Mascolo, C. 2011. Exploiting place features in link prediction on location-based social networks. In KDD.
Souza, F.; de Las Casas, D.; Flores, V.; Youn, S.; Cha, M.; Quercia, D.; and Almeida, V. 2015. Dawn of the selfie era: The whos, wheres, and hows of selfies on Instagram. In COSN.
Ye, M.; Shou, D.; Lee, W.-C.; Yin, P.; and Janowicz, K. 2011. On the semantic annotation of places in location-based social networks. In KDD.
Zhang, Y., and Pang, J. 2015. Distance and friendship: A distance-based model for link prediction in social networks. In APWeb.
Zheng, Y.; Capra, L.; Wolfson, O.; and Yang, H. 2014. Urban computing: Concepts, methodologies, and applications. ACM Transactions on Intelligent Systems and Technology 5(3).
Zhong, Y.; Yuan, N. J.; Zhong, W.; Zhang, F.; and Xie, X. 2015. You are where you go: Inferring demographic attributes from location check-ins. In WSDM.
