Publikation: Social Information Improves Location Prediction in the Wild
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2015
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Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. Menlo Park, CA, USA: AAAI Publications, 2015, pp. 25-32
Zusammenfassung
How can knowing the location of my friends be used to more accurately predict my location? This paper explores socially-aware location prediction under a particularly challenging setting where the underlying interactions and social network are unknown and must be inferred over continuous spatiotemporal data. Our method samples inferred network topology using a linear regression model to predict future individual locations. We present an in-depth empirical study comparing different network models and network sampling regimes under a bootstrapped sampling baseline. Furthermore, our qualitative analysis demonstrates the value of social information in population mobility modeling under our application’s challenges.
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570 Biowissenschaften, Biologie
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Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 25. Jan. 2015 - 26. Jan. 2015, Austin, TX, USA
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LI, Jai, Ivan BRUGERE, Brian ZIEBART, Tanya BERGER-WOLF, Margaret C. CROFOOT, Damien R. FARINE, 2015. Social Information Improves Location Prediction in the Wild. Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. Austin, TX, USA, 25. Jan. 2015 - 26. Jan. 2015. In: Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. Menlo Park, CA, USA: AAAI Publications, 2015, pp. 25-32BibTex
@inproceedings{Li2015Socia-46641,
year={2015},
title={Social Information Improves Location Prediction in the Wild},
url={https://www.aaai.org/ocs/index.php/WS/AAAIW15/paper/viewPaper/10199},
publisher={AAAI Publications},
address={Menlo Park, CA, USA},
booktitle={Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence},
pages={25--32},
author={Li, Jai and Brugere, Ivan and Ziebart, Brian and Berger-Wolf, Tanya and Crofoot, Margaret C. and Farine, Damien R.}
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2019-05-23
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