This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Gong J B, Gao X X, Cheng H, et al. Integrating a weighted-average method into the random walk framework to generate individual friend recommendations. Sci China Inf Sci, 2017, 60: 110104
Li G L, Hu J, Feng J H, et al. Effective location identification from microblogs. In: Proceedings of the 30th International Conference on Data Engineering, 2014. 880–891
Li R, Wang S J, Deng H B, et al. Towards social user profiling: unified and discriminative influence model for inferring home locations. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012. 1023–1031
Cheng Z, Caverlee J, Lee K. You are where you tweet: a content-based approach to geo-locating twitter users. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, 2010. 759–768
Han B, Cook P, Baldwin T. A stacking-based approach to twitter user geolocation prediction. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013. 7–12
This work was supported by National Natural Science Foundation of China (Grant No. 61672458).
Electronic supplementary material
About this article
Cite this article
Yang, Z., He, S. & Chen, J. GotU: leverage social ties for efficient user localization. Sci. China Inf. Sci. 63, 159202 (2020). https://doi.org/10.1007/s11432-018-9534-5