Design and implementation of a smart system for personalization and accurate selection of mobile services |
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Authors: | Qusay H Mahmoud Eyhab Al-Masri Zhixin Wang |
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Affiliation: | (1) Department of Computing and Information Science, University of Guelph, Guelph, ON, Canada, N1G 2W1 |
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Abstract: | Wireless mobile services are computing applications that run on handheld wireless devices. Such applications must work within
the daunting constraints of the devices, which include memory, processing power, input capabilities, and size of display.
It is therefore important that mobile services take into account the user’s context, optimize resource usage, and minimize
input effort imposed on the user. In this paper, we present the design and implementation of a smart agent-enabled system
for personalizing wireless mobile services and advertisements for Java 2 Micro Edition (J2ME) or Java ME, and Wireless Application
Protocol (WAP) enabled devices. We use software agents for context filtering because such autonomous software entities have
characteristics that can benefit mobile devices and the wireless environment, and the Composite Capability/Preference Profiles
(CC/PP) standard for defining profiles for user preferences and device capabilities. The system incorporates the use of artificial
neural networks to adaptively and iteratively learn to select the best available service based on contextual information.
The system is evaluated using practical operating scenarios, as well as empirical data and results show an 87% success rate
in the selection of the best available service. |
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Keywords: | Mobile services Software agents CC/PP Personalization WAP J2ME Java ME Service selection Artificial neural networks |
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