A recommendation system for emergency mobile applications using context attributes: REMAC-Reference-Cited by-同舟云学术

A recommendation system for emergency mobile applications using context attributes: REMAC

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics - WAMA 2019
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Author:

Ahmadi Alireza¹,Mukherjee Debjyoti¹,Ruhe Guenther¹

Affiliation:

1. University of Calgary, Canada

Publisher

ACM Press

Reference30 articles.

1. Accessed: 2019-03-09. World University Rankings & Reviews | uniRank. https: //www.4icu.org/.

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3. Sabah Al-Fedaghi. 2017. Context-aware software systems: toward a diagrammatic modeling foundation. Journal of Theoretical and Applied Information Technology 95, 4 (2017), 936.

4. Matthias Baldauf, Schahram Dustdar, and Florian Rosenberg. 2007. A survey on context-aware systems. International Journal of Ad Hoc and Ubiquitous Computing 2, 4 (2007), 263–277.

5. Sugato Basu, Mikhail Bilenko, and Raymond J Mooney. 2004. A probabilistic framework for semi-supervised clustering. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 59–68.

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