Deep learning techniques for music recommendation (doctoral work)

E786387

PhD thesis doctoral thesis

"Deep learning techniques for music recommendation (doctoral work)" is Sander Dieleman’s PhD thesis that pioneered the application of deep neural networks to improve automated music recommendation and discovery.

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Label	Occurrences
Deep learning techniques for music recommendation (doctoral work) canonical	1

Statements (46)

Predicate	Object
instanceOf	PhD thesis ⓘ doctoral thesis ⓘ
academicDegree	Doctor of Philosophy ⓘ
aim	to improve personalization in music recommendation ⓘ to learn music representations directly from audio ⓘ to reduce reliance on hand-crafted audio features ⓘ
author	Sander Dieleman NERFINISHED ⓘ
availableAs	PDF ⓘ
completionYear	2016 ⓘ
contribution	improved automated music recommendation quality ⓘ improved music discovery in large catalogs ⓘ pioneered application of deep learning to music recommendation ⓘ
country	Belgium ⓘ
field	deep learning ⓘ machine learning ⓘ music information retrieval ⓘ recommender systems ⓘ
focusesOn	automated recommendation ⓘ music discovery ⓘ music recommendation ⓘ
hasAuthor	Dieleman, Sander NERFINISHED ⓘ
hasAuthorAffiliationAtTimeOfThesis	Department of Electronics and Information Systems, Ghent University NERFINISHED ⓘ
hasAuthorORCID	0000-0002-4974-0043 ⓘ
hasKeyword	audio analysis ⓘ deep learning ⓘ music recommendation ⓘ neural networks ⓘ recommender systems ⓘ representation learning ⓘ
institution	Ghent University NERFINISHED ⓘ
language	English ⓘ
relatedTo	collaborative filtering ⓘ content-based filtering ⓘ hybrid recommendation systems ⓘ music streaming services ⓘ
repository	Ghent University Academic Bibliography NERFINISHED ⓘ
supervisor	Benjamin Schrauwen NERFINISHED ⓘ
topic	audio feature learning ⓘ large-scale music catalogs ⓘ music similarity modeling ⓘ user–item recommendation ⓘ
type	dissertation ⓘ
usesMethod	content-based recommendation ⓘ convolutional neural networks ⓘ deep neural networks ⓘ representation learning ⓘ

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Sander Dieleman → notableWork → Deep learning techniques for music recommendation (doctoral work) ⓘ