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Resource collaboration system based on dynamic user preference and context

delete2010-07-18
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PRE
AI
J
Jong‐Hyun Park *
K
Kang, Ji-Hoon
DOI:10.1007/s10462-010-9175-9delete
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摘要

摘要

En 中文
In a ubiquitous computing environment, service composition and collaboration among heterogeneous resources are required, thus, an infrastructure that supports these requirements is an essential factor in seamless service delivery. In this environment, users hope to get a variety of customized services by using only an individual mobile device. But the resource of the mobile device has limitations such as tiny display screens, limited input, less powerful processors, and limited storage. Moreover each user situation is different and user preferences are also various. Therefore it is one of new issues to provide a customized service for a user through resource collaboration based on various user preference and situation. To solve this issue, this paper proposes a resource collaboration system which infers customized resources for composing a user required service and collaborative with selected resources. For our collaboration system, this paper proposes the method to infer resources based on the context and user preferences including dynamic change of the preference. This paper also shows a reasonable execution environment for the proposed system through the performance evaluation in server-client and peer-to-peer environments.
Keyword:
Resource collaboration
Inference system
Context reasoning
Estimation of user preferences
Evaluation of collaboration system

期刊

Artificial Intelligence Review 封面图
Artificial Intelligence Review
IF:
13.9
论文数:
6.1K
被引数:
1.9W

机构

C
Chungnam National University
学者数:
1.5W
论文数: 1.4W
被引数: 1.2W
K
Kyushu University
学者数:
3.2W
论文数: 2.6W
被引数: 2.8W
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