TY - GEN
T1 - On effective personalized music retrieval by exploring online user behaviors
AU - Cheng, Zhiyong
AU - Shen, Jialie
AU - Hoi, Steven C.H.
PY - 2016/7/7
Y1 - 2016/7/7
N2 - In this paper, we study the problem of personalized text-based music retrieval which takes users' music preferences on songs into account via the analysis of online listening behaviours and social tags. Towards the goal, a novel Dual-Layer Music Preference Topic Model (DL-MPTM) is proposed to construct latent music interest space and characterize the correlations among (user, song, term). Based on the DL-MPTM, we further develop an effective personalized music retrieval system. To evaluate the system's performance, extensive experimental studies have been conducted over two test collections to compare the proposed method with the state-of-the-art music retrieval methods. The results demonstrate that our proposed method significantly outperforms those approaches in terms of personalized search accuracy.
AB - In this paper, we study the problem of personalized text-based music retrieval which takes users' music preferences on songs into account via the analysis of online listening behaviours and social tags. Towards the goal, a novel Dual-Layer Music Preference Topic Model (DL-MPTM) is proposed to construct latent music interest space and characterize the correlations among (user, song, term). Based on the DL-MPTM, we further develop an effective personalized music retrieval system. To evaluate the system's performance, extensive experimental studies have been conducted over two test collections to compare the proposed method with the state-of-the-art music retrieval methods. The results demonstrate that our proposed method significantly outperforms those approaches in terms of personalized search accuracy.
KW - Personalized
KW - Semantic music retrieval
KW - Topic model
UR - http://www.scopus.com/inward/record.url?scp=84980390310&partnerID=8YFLogxK
U2 - 10.1145/2911451.2911491
DO - 10.1145/2911451.2911491
M3 - Conference contribution
AN - SCOPUS:84980390310
T3 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 125
EP - 134
BT - SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
T2 - 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016
Y2 - 17 July 2016 through 21 July 2016
ER -