Multi-media Recommendation Based On A Dynamically Re-definable Ontology

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概要

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• 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.

• 一般社団法人電子情報通信学会の論文
• 2013-08-02

著者

• Zhao Qiangfu

  Dept. Computer and Information Systems, Graduate School of the Univeristy of Aizu

• Lin Yu-Hsiang

  Dept. Computer and Information Systems, Graduate School of the University of Aizu

• Chen Rung-Ching

  Dept. Computer Science and Information Engineering, Chaoyang University of Technology

関連論文

• Multi-media Recommendation Based On A Dynamically Re-definable Ontology
• Multi-media Recommendation Based On A Dynamically Re-definable Ontology

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