On effective personalized music retrieval by exploring online user behaviors

On effective personalized music retrieval by 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 DualLayer Music Preference Topic Model (DL-MPTM) is proposed to constru...

Full description

Saved in:
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
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4136
https://ink.library.smu.edu.sg/context/sis_research/article/5139/viewcontent/fp027_cheng.pdf

Similar Items