Community based Context-aware Information for the Intelligent Personalized Information Service

نویسندگان

  • Jae-gu Song
  • Seoksoo Kim
چکیده

With the advent of ubiquitous computing environments, it has become increasingly various context-aware technology implemented. It is researched; however, rather than providing a simple situations, is not possible following the large scope of context-aware data. Nevertheless, it is possible to effectively manage and categorize information by using the characteristic of professional contextual information, which is inherently limited in scope as it is a professional language. This paper presents the system architecture of community based context-aware management service with the properties, operations, and tasks for contextaware services. We apply the proposed a method to community context information by converting various application terminologies used to provide information services. The implemented content recommendation service, a mobile service agent, and advertisement recommendation for suit one’s taste. Keyword: Context-aware, Information Server, Advertisement recommendation.

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تاریخ انتشار 2008