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A multi faceted recommendation approach for explorative video retrieval tasks

Published:07 February 2010Publication History

ABSTRACT

In this paper we examine the use of multi faceted recommendations to aid users while carrying out exploratory video retrieval tasks. These recommendations are integrated into ViGOR (Video Grouping, Organisation and Retrieval), a system which employs grouping techniques to facilitate video retrieval tasks. Two types of recommendations based on past usage history are utilised, the first attempts to couple the multi-faceted nature of explorative video retrieval tasks with the current user interests in order to provide global recommendations, while the second exploits the organisational features of ViGOR in order to provide recommendations based on a specific aspect of the user's task.

References

  1. Girgensohn, A., Shipman, F., Wilcox, L., Turner, T., and Cooper, M. MediaGLOW: organizing photos in a graph-based workspace. In Proc. IUI 2009, 419 -- 424. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Halvey, M., Vallet, D., Hannah, D., and Jose, J. M. ViGOR: a grouping oriented interface for search and retrieval in video libraries. In Proc. JCDL 2009, 87--96. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Hopfgartner, F., Vallet, D., Halvey, M., and Jose, J. Search trails using user feedback to improve video search. In Proc. ACM MM 2008, 339--348. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Urban, J. and Jose, J.M. A Personalised Multimedia Management and Retrieval Tool. In the International Journal of Intelligent Systems, 21(7), 725--745, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. A multi faceted recommendation approach for explorative video retrieval tasks

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        cover image ACM Conferences
        IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces
        February 2010
        460 pages
        ISBN:9781605585154
        DOI:10.1145/1719970

        Copyright © 2010 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 February 2010

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        Overall Acceptance Rate746of2,811submissions,27%

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