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2014 IEEE 28th International Conference on Advanced Information Networking and Applications (AINA) (2014)
Victoria, BC, Canada
May 13, 2014 to May 16, 2014
ISSN: 1550-445X
ISBN: 978-1-4799-3629-8
pp: 765-770
ABSTRACT
Nowadays more and more people are going online to seek for information, service and products to address their health concerns. Given the mountains of online health-related data, it is time and energy consuming for people to locate the right information directly related to their health concerns. Therefore, effective recommendation is very important to save people's time and energy by providing them with the appropriate information. In this paper, we propose a recommendation system which utilizes semantic web technology and healthcare social networking to provide personalized recommendation to speed patient recovery and improve healthcare outcomes. Extensive experiments have been performed to evaluate the performance of the system. The results demonstrated the effectiveness of the proposed strategy.
INDEX TERMS
Medical services, Collaboration, Social network services, Semantics, Ontologies, Information filtering
CITATION

N. Zaman and J. Li, "Semantics-Enhanced Recommendation System for Social Healthcare," 2014 IEEE 28th International Conference on Advanced Information Networking and Applications (AINA), Victoria, BC, Canada, 2014, pp. 765-770.
doi:10.1109/AINA.2014.93
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