• DocumentCode
    1608245
  • Title

    "Read" More from Business Cards: Toward a Smart Social Contact Management System

  • Author

    Guo, Bin ; Zhang, Daqing ; Yang, Dingqi

  • Author_Institution
    Telecom SudParis, Inst. Telecom, Evry, France
  • Volume
    1
  • fYear
    2011
  • Firstpage
    384
  • Lastpage
    387
  • Abstract
    The ability to leverage the power of a network of social contacts is important to get things done. However, as the number of contacts increases, people often find it difficult to maintain their contact network by using merely memory, and are frequently encompassed with questions like "who is that person, I met him in Tokyo last year". Existing contact tools make up for the shortage of unreliable human memory by storing contact information in the digital format, but laying much burden on users on manually inputting contact data. This paper, however, presents a social contact management system called SCM, which supports the auto-collection of rich contact data by exploring the aggregated power of pervasive sensing and Web intelligence techniques. Regarding that people often need to leverage several associated things (e.g., meeting location) to fetch other information about a contact (e.g., his name), we also develop an associative contact retrieval method. The effectiveness and runtime performance of our system is validated through a set of experiments.
  • Keywords
    Internet; content management; information retrieval; social networking (online); ubiquitous computing; Web intelligence technique; associative contact retrieval method; business cards; contact information storage; contact tools; pervasive sensing technique; smart social contact management system; Business; Context; Data mining; Feature extraction; Humans; Sensors; Web pages; HCI; Information Integration; Pervasive Computing; Social Contact Management; Web Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Lyon
  • Print_ISBN
    978-1-4577-1373-6
  • Electronic_ISBN
    978-0-7695-4513-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2011.22
  • Filename
    6038700