• DocumentCode
    605975
  • Title

    A modelling notation for contextual-based message filtering service

  • Author

    Sharon, S. ; Yih-jiun Lee ; Kai-Wen Lien

  • Author_Institution
    Dept. of Inf. Commun., Chinese Culture Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    348
  • Lastpage
    351
  • Abstract
    Information overload has become a major problem in our daily life. The rapid growth of mobile devices and mobile communication technologies in recent years has had great influence. Communication is easier; work is more effortless; and life is more convenient. Mobile technologies also move computer-supported collaborations to the portable environment. Usually, a collaborative work is composed of multiple tasks and participants, and enabling every participant to receive proper information is difficult. Useless information can cause SPAM, but lacking useful information might cause problems. A new mechanism to filter useful information is proposed based on web-based contextual filtering services. SPAM can be reduced without affecting the flow of important information. In this paper, a modeling notation to verify the usefulness of a message filtering service is proposed.
  • Keywords
    Internet; collaborative filtering; mobile computing; unsolicited e-mail; SPAM; Web-based contextual filtering services; collaborative work; computer-supported collaboration; contextual-based message filtering service modelling notation; information filter mechanism; information overload; mobile communication technologies; mobile devices; mobile technologies; portable environment; Computer Supported Collaborative Work; context-based; information filtering; mobile collabortation; work breakthrough;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-0876-2
  • Type

    conf

  • Filename
    6528655