Where am I? Predicting user location semantics from engagement with smartphone notifications-Reference-Cited by-同舟云学术

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Where am I? Predicting user location semantics from engagement with smartphone notifications

Published:2020-11-16 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Komninos Andreas^ORCID,Simou Ioulia,Frengkou Antonis-Elton,Gkorgkolis N.,Garofalakis John

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-020-02680-x.pdf

Reference24 articles.

1. Akosa JS (2017) Predictive accuracy: a misleading performance measure for highly imbalanced data. In: SAS Global Forum 2017 Conference

2. Anderson C, Hübener I, Seipp AK, Ohly S, David K, Pejovic V (2018) A survey of attention management systems in ubiquitous computing environments. ACM Int Mobile Wearable Ubiquitous Technol 2(2):58:1–58:27. https://doi.org/10.1145/3214261

3. Auda J, Weber D, Voit A, Schneegass S (2018) Understanding user preferences towards rule-based notification deferral. In: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, ACM, CHI EA ’18, pp LBW584:1–LBW584:6, https://doi.org/10.1145/3170427.3188688

4. Celik SC, Incel OD (2018) Semantic place prediction from crowd-sensed mobile phone data. J Ambient Intell Humaniz Comput 9(6):2109–2124. https://doi.org/10.1007/s12652-017-0549-6

5. Falcone D, Mascolo C, Comito C, Talia D, Crowcroft J (2014) What is this place? Inferring place categories through user patterns identification in geo-tagged tweets. In: 6th International Conference on Mobile Computing, Applications and Services, pp 10–19, https://doi.org/10.4108/icst.mobicase.2014.257683

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1. Modelling human behavior during text entry;Proceedings of the 25th International Conference on Mobile Human-Computer Interaction;2023-09-26

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