Music popularity, diffusion and recommendation in social networks: A fusion analytics approach

Streaming music and social networks offer an easy way for people to gain access to a massive amount of music, but there are also challenges for the music industry to design for promotion strategies via the new channels. My dissertation employs a fusion of machine-based methods and explanatory empiri...

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Main Author:	REN, Jing
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2018
Subjects:	Fusion Analytics Econometrics Machine Learning Streaming music Recommendation Diffusion Music OS and Networks
Online Access:	https://ink.library.smu.edu.sg/etd_coll/181 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1181&context=etd_coll
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.etd_coll-1181
record_format	dspace
spelling	sg-smu-ink.etd_coll-11812019-05-17T08:15:21Z Music popularity, diffusion and recommendation in social networks: A fusion analytics approach REN, Jing Streaming music and social networks offer an easy way for people to gain access to a massive amount of music, but there are also challenges for the music industry to design for promotion strategies via the new channels. My dissertation employs a fusion of machine-based methods and explanatory empiricism to explore music popularity, diffusion, and promotion in the social network context. 2018-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll/181 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1181&context=etd_coll http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection (Open Access) eng Institutional Knowledge at Singapore Management University Fusion Analytics Econometrics Machine Learning Streaming music Recommendation Diffusion Music OS and Networks
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Fusion Analytics Econometrics Machine Learning Streaming music Recommendation Diffusion Music OS and Networks
spellingShingle	Fusion Analytics Econometrics Machine Learning Streaming music Recommendation Diffusion Music OS and Networks REN, Jing Music popularity, diffusion and recommendation in social networks: A fusion analytics approach
description	Streaming music and social networks offer an easy way for people to gain access to a massive amount of music, but there are also challenges for the music industry to design for promotion strategies via the new channels. My dissertation employs a fusion of machine-based methods and explanatory empiricism to explore music popularity, diffusion, and promotion in the social network context.
format	text
author	REN, Jing
author_facet	REN, Jing
author_sort	REN, Jing
title	Music popularity, diffusion and recommendation in social networks: A fusion analytics approach
title_short	Music popularity, diffusion and recommendation in social networks: A fusion analytics approach
title_full	Music popularity, diffusion and recommendation in social networks: A fusion analytics approach
title_fullStr	Music popularity, diffusion and recommendation in social networks: A fusion analytics approach
title_full_unstemmed	Music popularity, diffusion and recommendation in social networks: A fusion analytics approach
title_sort	music popularity, diffusion and recommendation in social networks: a fusion analytics approach
publisher	Institutional Knowledge at Singapore Management University
publishDate	2018
url	https://ink.library.smu.edu.sg/etd_coll/181 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1181&context=etd_coll
_version_	1712300918453567488

Music popularity, diffusion and recommendation in social networks: A fusion analytics approach

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