On effective personalized music retrieval by exploring online user behaviors

• Main Authors: CHENG, Zhiyong, SHEN, Jialie, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Personalized; Topic model; Semantic music retrieval; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4136; https://ink.library.smu.edu.sg/context/sis_research/article/5139/viewcontent/fp027_cheng.pdf
• Institution: Singapore Management University

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 DualLayer Music Preference Topic Model (DL-MPTM) is proposed to constru...