On effective personalized music retrieval via exploring online user behaviors

On effective personalized music retrieval via exploring online user behaviors

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 c...

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Bibliographic Details
Main Authors: CHENG, Zhiyong, SHEN, Jialie, HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
personalized
semantic music retrieval
topic model
Computer Sciences
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/3417
https://ink.library.smu.edu.sg/context/sis_research/article/4418/viewcontent/Oneffectivepersonalizedmusicretrievalviaexploringonlineuserbehaviors.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3417
https://ink.library.smu.edu.sg/context/sis_research/article/4418/viewcontent/Oneffectivepersonalizedmusicretrievalviaexploringonlineuserbehaviors.pdf

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