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Affective Music Recommender System (MRS)
: investigating the effectiveness and user satisfaction of different mood inducement strategies
Rafika Amini
Department of Industrial Engineering & Innovation Science
Student thesis
:
Master
Abstract
Date of Award
31 Jul 2019
Original language
English
Supervisor
Martijn C. Willemsen
(Supervisor 1)
Cite this
Standard
Affective Music Recommender System (MRS): investigating the effectiveness and user satisfaction of different mood inducement strategies
Amini, R. (Author).
31 Jul 2019
Student thesis
:
Master
Documents
Thesis Rafika Amini
File
:
application/pdf, 2.45 MB
Type
:
Thesis