Cross-category Recommendation for Multimedia Content

  • Naoki Kamimaeda
  • Tomohiro Tsunoda
  • Masaaki Hoshino


The purpose of this article is to introduce cross-category recommendation technologies for multimedia content. First, in order to understand how to realize the recommendation function, multimedia content recommendation technologies and cross-category recommendation technologies are outlined. Second, practical applications and services using these technologies are described. Finally, difficulties involving cross-category recommendation for multimedia content and future prospects are mentioned as the conclusion.


Recommendation System User Preference Collaborative Filter Vector Space Model Content Profile 



We would like to thank our colleagues at the PAO Gp., Intelligent Systems Research Laboratory, System Technologies Laboratories, Corporate R&D, Sony Corporation and Sec.5, Intelligence Application Development Dept., Common Technology Division, Technology Development Group, Corporate R&D, Sony Corporation for their invaluable assistance.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Naoki Kamimaeda
    • 1
  • Tomohiro Tsunoda
    • 1
  • Masaaki Hoshino
    • 1
  1. 1.Sec. 5, Intelligence Application Development Dept., Common Technology Division, Technology Development Group, Corporate R&DSony CorporationTokyoJapan

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