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Interactive Music Recommendation System for Adapting Personal Affection: IMRAPA

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Dept. of Computer Science and Engineering, Graduate School of Engineering; Nagoya Institute of Technology; Department of Media Technology Ritsumeikan; Ritsumeikan University; Gerhard Goos; Juris Hartmanis; Jan van Leeuwen; TC 14
    • بيانات النشر:
      HAL CCSD
      Springer
    • الموضوع:
      2012
    • الموضوع:
      Bremen; Germany
    • نبذة مختصرة :
      Part 11: Posters ; International audience ; We have so various types of entertainment, and music is one of the most popular one. In this paper, we proposed music recommendation system that interactively adapts a user’s personal affection with only a simple operation, in which both acoustic and meta features are used. The more a user uses the proposed system, the better the system adapts the user’s personal affection and recommends the suitable songs. Through the evaluational experiment, we confirmed that the proposed system could recommend songs adapting user’s personal affection even if the personal affection variated.
    • Relation:
      hal-01556186; https://hal.inria.fr/hal-01556186; https://hal.inria.fr/hal-01556186/document; https://hal.inria.fr/hal-01556186/file/978-3-642-33542-6_42_Chapter.pdf
    • الرقم المعرف:
      10.1007/978-3-642-33542-6_42
    • الدخول الالكتروني :
      https://hal.inria.fr/hal-01556186
      https://hal.inria.fr/hal-01556186/document
      https://hal.inria.fr/hal-01556186/file/978-3-642-33542-6_42_Chapter.pdf
      https://doi.org/10.1007/978-3-642-33542-6_42
    • Rights:
      http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.95EE99BB