• DocumentCode
    2122502
  • Title

    Adaptive User Profiling in Enhancing RSS-based Information Services

  • Author

    Zeng, Limin ; Zhang, Yong ; Qiu, Robin G., Sr.

  • Author_Institution
    Postgraduate student, College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, 232, 29 YuDao St., Nanjing 210016, P. R. China, email: liminzeng@nuaa.edu.cn
  • fYear
    2007
  • fDate
    27-29 Aug. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Although there are many web-based information service systems available, it is still not an easy job in navigating through the Internet to get the needed information service in a timely manner. This paper investigates a practical approach to deploying just-in-time assistive information services on the Internet. As a preliminary exploration, the RSS technology is used to assure that the information service is up-to-date. When combined with one-time Rocchio feedback and many-times Rocchio feedback, information services can be well filtered and aggregated to meet the needs of personalization, and become more just-in-time assistive. A prototyped news service system is built to validate the applicability of the proposed methodology.
  • Keywords
    Educational institutions; Feedback; Feeds; Information filtering; Information filters; Information science; Navigation; Prototypes; Space technology; Web and internet services; Concept drift; Content filtering; RSS; Rocchio; User profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on
  • Conference_Location
    Philadelphia, PA, USA
  • Print_ISBN
    978-1-4244-1118-4
  • Electronic_ISBN
    978-1-4244-1118-4
  • Type

    conf

  • DOI
    10.1109/SOLI.2007.4383915
  • Filename
    4383915