A multi faceted recommendation approach for explorative video retrieval tasks

David Vallet, Martin Halvey, David Hannah, Joemon M. Jose

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.
    Original languageEnglish
    Title of host publicationProceedings of the 15th International Conference on Intelligent User Interfaces
    PublisherACM
    Pages389-392
    Number of pages4
    ISBN (Print)9781605585154
    DOIs
    Publication statusPublished - 2010

    Keywords

    • video retrieval
    • user interfaces

    Cite this

    Vallet, D., Halvey, M., Hannah, D., & Jose, J. M. (2010). A multi faceted recommendation approach for explorative video retrieval tasks. In Proceedings of the 15th International Conference on Intelligent User Interfaces (pp. 389-392 ). ACM. https://doi.org/10.1145/1719970.1720038