• DocumentCode
    3198779
  • Title

    Smoodi: Mood-based music recommendation player

  • Author

    Lee, Seungjae ; Kim, Jung Hyun ; Kim, Sung Min ; Yoo, Won Young

  • Author_Institution
    Contents Res. Div., ETRI, Daejeon, South Korea
  • fYear
    2011
  • fDate
    11-15 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we present a mood-based music recommendation player: Smoodi. The Smoodi provides smart mood recommendation by touch and drag and it has three different views: Mood Square, Cover Flow and Mood Cloud. In the Mood Square, users can check the mood distribution of local clips and generate playlists by touching mood cells. In the Cover Flow, users can find music information and generate similar songs list by dragging a seed song. In the Tag Cloud, users can make playlists by selecting mood tags. For this application, we developed new mood model from collected mood tags and arousal-valence position values and designed a regression function to estimate mood probabilities.
  • Keywords
    music; recommender systems; regression analysis; SMOODI; arousal valence position values; cover flow; mood based music recommendation player; mood cloud; mood probabilities; mood square; regression function; smart mood recommendation; tag cloud; Indexes; Medical services; Mood; Mood model; Music recommendation; Regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-61284-348-3
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2011.6012116
  • Filename
    6012116