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      Intelligent media indexing and television recommender systems

      Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009) (FDIA)

      Computers XXIII Celebrating People and Technology

      1 September 2009

      Collaborative filtering, recommender system, multimedia retrieval, personalised television

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          Abstract

          This paper presents a state-of-art review on recommender systems that has been identified as possible areas of my research. It describes the current generation of collaborative filtering methods which are usually classified into three main categories: item-based, user-based and hybrid methods. The paper considers these methods to be applied to digital television providing recommendation for viewers. Personalised television is predicted to be the next step in the evolution of television which might reshape the whole landscape of mass media. The paper also identifies anticipated problems in the domain of recommender systems which includes indexing, collaborative filtering, ranking problems and possible research directions to solve these problems. Finally, these challenges are considered in the domain of personalised television which has its own inherent shortcomings.

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          Author and article information

          Contributors
          Conference
          September 2009
          September 2009
          : 50-55
          Affiliations
          Department of Computer Science

          University College London
          10.14236/ewic/FDIA2009.9
          © Tamas Jambor. Published by BCS Learning and Development Ltd. Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009), Padua, Italy

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009)
          FDIA
          3
          Padua, Italy
          1 September 2009
          Electronic Workshops in Computing (eWiC)
          Computers XXIII Celebrating People and Technology
          Product
          Product Information: 1477-9358 BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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