TY - GEN
T1 - A music recommendation method for large-scale music library on a heterogeneous platform
AU - Zheng, Yao
AU - Xiao, Limin
AU - Tang, Wenqi
AU - Ruan, Li
PY - 2014
Y1 - 2014
N2 - Currently, music recommendation system is a research focus in music information retrieval and a typical system can handle millions of music in real time. However, online music libraries have exceeded ten-million magnitudes, such as Amazon MP3, which results in mismatching between music recommendation systems and music libraries. Thus, this paper presents a music recommendation method for retrieving the large-scale music library on a heterogeneous platform. Based on the music similarity algorithm, by combining the indexing mechanism with GPU hardware acceleration, we further enhance the processing scale of the proposed method. Experiments show that, without lowering the retrieval accuracy, the proposed music recommendation method has the ability to handle ten-million magnitude libraries online in a single server.
AB - Currently, music recommendation system is a research focus in music information retrieval and a typical system can handle millions of music in real time. However, online music libraries have exceeded ten-million magnitudes, such as Amazon MP3, which results in mismatching between music recommendation systems and music libraries. Thus, this paper presents a music recommendation method for retrieving the large-scale music library on a heterogeneous platform. Based on the music similarity algorithm, by combining the indexing mechanism with GPU hardware acceleration, we further enhance the processing scale of the proposed method. Experiments show that, without lowering the retrieval accuracy, the proposed music recommendation method has the ability to handle ten-million magnitude libraries online in a single server.
KW - GPU-accelerated
KW - Large-scale
KW - Music recommendation
KW - Music similarity algorithm
UR - https://www.scopus.com/pages/publications/84958521143
U2 - 10.1007/978-3-319-11197-1_36
DO - 10.1007/978-3-319-11197-1_36
M3 - 会议稿件
AN - SCOPUS:84958521143
SN - 9783319111964
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 472
EP - 482
BT - Algorithms and Architectures for Parallel Processing - 14th International Conference, ICA3PP 2014, Proceedings
PB - Springer Verlag
T2 - 14th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2014
Y2 - 24 August 2014 through 27 August 2014
ER -