Presentation 2013-08-09
Multi-media Recommendation Based On A Dynamically Re-definable Ontology
Yu-Hsiang Lin, Rung-Ching Chen, Qiangfu Zhao,
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Abstract(in English) Context awareness has become an important issue in recent years. However, we still do not have a formal mechanism for solving related problems due to the complexity caused by personalization, service diversity, user intension, and so on. In this paper, we investigate the possibility of solving the problems using re-definable ontology. As a concrete example, we study smart phone based automatic service recommendation. The main idea of this work is to record the user behaviors, estimate the user intention based on the recorded data, induce first-order predicate logic rules, and re-define the structure of an ontology system. The re-definable ontology system can become smarter and smarter to understand the user intention and the correlation between users, and recommend proper services in proper timing. Based on the proposed mechanism, a simple prototype system is implemented. This paper provides some preliminary test results, and points out problems for future study.
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Keyword(in English) Context Awareness / Intension Awareness / Preference Awareness / Service Recommendation
Paper # AI2013-15,SC2013-9
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Committee SC
Conference Date 2013/8/2(1days)
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Title (in Japanese) (See Japanese page)
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Title (in English) Multi-media Recommendation Based On A Dynamically Re-definable Ontology
Sub Title (in English)
Keyword(1) Context Awareness
Keyword(2) Intension Awareness
Keyword(3) Preference Awareness
Keyword(4) Service Recommendation
1st Author's Name Yu-Hsiang Lin
1st Author's Affiliation Dept. Computer and Information Systems, Graduate School of the University of Aizu()
2nd Author's Name Rung-Ching Chen
2nd Author's Affiliation Dept. Computer Science and Information Engineering, Chaoyang University of Technology
3rd Author's Name Qiangfu Zhao
3rd Author's Affiliation Dept. Computer and Information Systems, Graduate School of the University of Aizu
Date 2013-08-09
Paper # AI2013-15,SC2013-9
Volume (vol) vol.113
Number (no) 179
Page pp.pp.-
#Pages 6
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