Applying soft links to diversify video recommendations

David Vallet, Martin Halvey, Joemon M. Jose, Pablo Castells

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

    Abstract

    In this paper we present a study of exploratory video search tasks and recommendation techniques based on a graph representation of past user community interactions with the system, which have been used in a number of multimedia retrieval systems. We propose an extension for such graph-based usage representation techniques based on the creation of additional soft links between nodes. It is demonstrated how soft links can be incorporated into a graph-based representation and how different state of the art techniques can be adapted to use soft links. Our evaluation, based on a simulation-oriented technique and real interaction data gathered from users, shows how our soft links can help in improving the diversity and, in some cases, the accuracy of the studied recommendation techniques.
    Original languageEnglish
    Title of host publicationCBMi2011
    Subtitle of host publication9th International Workshop on Content-Based Multimedia Indexing
    PublisherIEEE
    Pages73-78
    Number of pages6
    ISBN (Print)978-1-61284-433-6
    DOIs
    Publication statusPublished - 2011

    Publication series

    NameCBMi2011: 9th International Workshop on Content-Based Multimedia Indexing
    ISSN (Print)1949-3991

    Keywords

    • video retrieval
    • recommender systems
    • soft links

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