TY - GEN
T1 - SVR-based music mood classification and context-based music recommendation
AU - Rho, Seungmin
AU - Han, Byeong Jun
AU - Hwang, Eenjun
PY - 2009
Y1 - 2009
N2 - With the advent of the ubiquitous era, context-based music recommendation has become one of rapidly emerging applications. Context-based music recommendation requires multidisciplinary efforts including low level feature extraction, music mood classification and human emotion prediction. Especially, in this paper, we focus on the implementation issues of context-based mood classification and music recommendation. For mood classification, we reformulate it into a regression problem based on support vector regression (SVR). Through the use of the SVR-based mood classifier, we achieved 87.8% accuracy. For music recommendation, we reason about the user's mood and situation using both collaborative filtering and ontology technology. We implement a prototype music recommendation system based on this scheme and report some of the results that we obtained.
AB - With the advent of the ubiquitous era, context-based music recommendation has become one of rapidly emerging applications. Context-based music recommendation requires multidisciplinary efforts including low level feature extraction, music mood classification and human emotion prediction. Especially, in this paper, we focus on the implementation issues of context-based mood classification and music recommendation. For mood classification, we reformulate it into a regression problem based on support vector regression (SVR). Through the use of the SVR-based mood classifier, we achieved 87.8% accuracy. For music recommendation, we reason about the user's mood and situation using both collaborative filtering and ontology technology. We implement a prototype music recommendation system based on this scheme and report some of the results that we obtained.
KW - Classification
KW - Music mood
KW - Ontology
KW - Recommendation
KW - Support vector regression
UR - http://www.scopus.com/inward/record.url?scp=72449184099&partnerID=8YFLogxK
U2 - 10.1145/1631272.1631395
DO - 10.1145/1631272.1631395
M3 - Conference contribution
AN - SCOPUS:72449184099
SN - 9781605586083
T3 - MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
SP - 713
EP - 716
BT - MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
T2 - 17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums
Y2 - 19 October 2009 through 24 October 2009
ER -