International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Context-Awareness Modeling User Profile Construction Method for Personalized Information Retrieval System

  • Kim, Jee Hyun (Department of Computer Software, Seoil University) ;
  • Gao, Qian (Department of Computer Science, The University of Suwon) ;
  • Cho, Young Im (Department of Computer Science, The University of Suwon)
  • Received : 2014.06.02
  • Accepted : 2014.06.24
  • Published : 2014.06.25
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Abstract

Effective information gathering and retrieval of the most relevant web documents on the topic of interest is difficult due to the large amount of information that exists in various formats. Current information gathering and retrieval techniques are unable to exploit semantic knowledge within documents in the "big data" environment; therefore, they cannot provide precise answers to specific questions. Existing commercial big data analytic platforms are restricted to a single data type; moreover, different big data analytic platforms are effective at processing different data types. Therefore, the development of a common big data platform that is suitable for efficiently processing various data types is needed. Furthermore, users often possess more than one intelligent device. It is therefore important to find an efficient preference profile construction approach to record the user context and personalized applications. In this way, user needs can be tailored according to the user's dynamic interests by tracking all devices owned by the user.

Keywords

References

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