Community based feedback techniques to improve video search

David Vallet, Frank Hopfgartner, Martin Halvey, Joemon M. Jose

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In this paper, we present a novel approach to aid users in the difficult task of video search. We use a graph based model based on implicit feedback mined from the interactions of previous users of our video search system to provide recommendations to aid users in their search tasks. This approach means that users are not burdened with providing explicit feedback, while still getting the benefits of recommendations. The goal of this approach is to improve the quality of the results that users find, and in doing so also help users to explore a large and difficult information space. In particular we wish to make the challenging task of video search much easier for users. The results of our evaluation indicate that we achieved our goals, the performance of the users in retrieving relevant videos improved, and users were able to explore the collection to a greater extent.
Original languageEnglish
Pages (from-to)289-306
Number of pages8
JournalSignal, Image and Video Processing
Issue number4
Early online date21 Oct 2008
Publication statusPublished - 2008


  • video
  • search
  • collaborative
  • implicit
  • feedback
  • user study


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