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A multi faceted recommendation approach for explorative video retrieval tasks

Published: 07 February 2010 Publication 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.
[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.
[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.
[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.

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  • (2016)FeRoSAProceedings, Part II, of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume 965210.1007/978-3-319-31750-2_42(528-541)Online publication date: 19-Apr-2016

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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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 February 2010

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Author Tags

  1. collaborative
  2. exploratory
  3. recommendation
  4. search
  5. video

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  • (2016)FeRoSAProceedings, Part II, of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume 965210.1007/978-3-319-31750-2_42(528-541)Online publication date: 19-Apr-2016

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