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Explainability in Music Recommender Systems

Explainability in Music Recommender Systems

25 January 2022
Darius Afchar
Alessandro B. Melchiorre
Markus Schedl
Romain Hennequin
Elena V. Epure
Manuel Moussallam
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Papers citing "Explainability in Music Recommender Systems"

4 / 4 papers shown
Title
Flow Moods: Recommending Music by Moods on Deezer
Flow Moods: Recommending Music by Moods on Deezer
Théo Bontempelli
Benjamin Chapus
François Rigaud
M. Morlon
Marin Lorant
Guillaume Salha-Galvan
11
16
0
15 Jul 2022
Making Neural Networks Interpretable with Attribution: Application to
  Implicit Signals Prediction
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction
Darius Afchar
Romain Hennequin
FAtt
XAI
24
16
0
26 Aug 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
177
1,939
0
02 Feb 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,681
0
28 Feb 2017
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