Context representation for context-aware mobile multimedia content recommendation

OTEBOLAKU, Abayomi and ANDRADE, M.T. (2011). Context representation for context-aware mobile multimedia content recommendation. In: SARHAN, N.J. and HAMZA, M.H., (eds.) Internet and Multimedia Systems and Applications / 747: Human-Computer Interaction. ACTAPRESS, 68-75.

[img]
Preview
PDF
IMSA2011-contextAwareRecommendation.pdf - Accepted Version
All rights reserved.

Download (490kB) | Preview
Official URL: https://www.actapress.com/Abstract.aspx?paperId=45...
Link to published version:: https://doi.org/10.2316/P.2011.746-004
Related URLs:

    Abstract

    Very few of the current solutions for content recommendation take into consideration the context of usage when analyzing the preferences of the user and issuing recommendations. Nonetheless, context can be extremely useful to help identify appropriate content for the specific situation or activity the user is in, while consuming the content. In this paper, we present a solution to allow content-based recommendation systems to take full potential of contextual data, by defining a standards-based representation model which accounts for possible relationships among low-level contexts. The MPEG-7 and MPEG-21 standards are used for content description and low-level context representation. OWL/RDF ontologies are used to capture contextual concepts and, together with SWRL to establish relationships and perform reasoning to derive high-level concepts the way humans do. This knowledge is then used to drive the recommendation and content adaptation processes. As a side achievement, an extension to the MPEG-21 specification was developed to accommodate the description of user activities, which we believe have a great impact on the type of content to be recommended.

    Item Type: Book Section
    Identification Number: https://doi.org/10.2316/P.2011.746-004
    Page Range: 68-75
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 05 Jun 2020 09:50
    Last Modified: 18 Mar 2021 00:06
    URI: https://shura.shu.ac.uk/id/eprint/25074

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics