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    Frequency-based similarity measure for multimedia recommender systems

    Access Status
    Fulltext not available
    Authors
    Rehman, Zia ur
    Hussain, Farookh Khadeer
    Hussain, Omar
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Rehman, Zia ur and Hussain, Farookh K. and Hussain, Omar K. 2012. Frequency-based similarity measure for multimedia recommender systems. Multimedia Systems. 19 (2): pp. 95-102.
    Source Title
    Multimedia Systems
    DOI
    10.1007/s00530-012-0281-1
    ISSN
    09424962
    URI
    http://hdl.handle.net/20.500.11937/43318
    Collection
    • Curtin Research Publications
    Abstract

    Personalized recommendation has become a pivotal aspect of online marketing and e-commerce as a means of overcoming the information overload problem. There are several recommendation techniques but collaborative recommendation is the most effective and widely used technique. It relies on either item-based or user-based nearest neighborhood algorithms which utilize some kind of similarity measure to assess the similarity between different users or items for generating the recommendations. In this paper, we present a new similarity measure which is based on rating frequency and compare its performance with the current most commonly used similarity measures. The applicability and use of this similarity measure from the perspective of multimedia content recommendation is presented and discussed.

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