DocumentCode :
601299
Title :
A Context-Aware Service Selection Mechanism Based on Hidden Markov Model
Author :
Xiao Zheng ; Yaqing Shi ; Xiujun Wang ; Chunying Xu
Author_Institution :
Sch. of Comput. Sci., Anhui Univ. of Technol., Maanshan, China
fYear :
2013
fDate :
11-13 April 2013
Firstpage :
196
Lastpage :
201
Abstract :
It is an important yet challenging problem that how to provide personalized services in pervasive environments. This paper explores the relationship between context and service requirements of customers, and proposes a service selection mechanism based on a modified Hidden Markov Model. Based on the contextual information, we build a novel Hidden Markov Model, and adjust its parameters dynamically by continuously changing context and invoked services. For a user, the service calling probabilities at current state can be calculated based on this model, which realizes personalized service selection. Meanwhile the user´s next state can also be predicted, which realizes selecting in advance by roulette wheel algorithm. The prototype was tested in a campus environment, which verified the validity of the proposed method.
Keywords :
Web services; hidden Markov models; probability; ubiquitous computing; campus environment; context-aware service selection mechanism; contextual information; customer context requirements; customer service requirements; dynamic parameter adjustment; modified hidden Markov model; personalized service selection; pervasive environment; roulette wheel algorithm; service calling probability; Accuracy; Computational modeling; Context; Context modeling; Hidden Markov models; Probability; Web services; Context; Hidden Markov Model; Service Selection; Web Service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Sciences (ICSS), 2013 International Conference on
Conference_Location :
Shenzhen
ISSN :
2165-3836
Print_ISBN :
978-1-4673-6258-0
Type :
conf
DOI :
10.1109/ICSS.2013.17
Filename :
6519790
Link To Document :
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