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
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;
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2011.6012116