| Titre : |
How do music streaming platforms use Data Analytics to shape musical taste of consumers? |
| Type de document : |
Mémoire |
| Auteurs : |
Inés KOLLI, Auteur |
| Année de publication : |
2022 |
| Importance : |
36 p. |
| Note générale : |
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| Langues : |
Anglais (eng) |
| Mots-clés : |
Management
MUSIQUE ; ANALYSE DES DONNEES ; CONSOMMATEUR
Entreprise
IMPACT TECHNOLOGIES
|
| Résumé : |
This dissertation aims to understand the functioning of recommendation systems of music streaming platforms driven by data analysis and aims to measure their influence on their
users.
To answer to the following problematic “How do music streaming platforms use Data Analytics to shape musical taste of consumers ”, it was relevant to present the current context and the existing theses on the subject through a literature review. Thus, the literature review presents how the music industry is being digitized by insisting on the preponderant role of data analysis and then focuses more on the use of artificial intelligence and machine learning in the design of personalized recommendation systems. In such an innovative topic with seemingly infinite progress, it is however important to draw the boundaries to make it realistic and relevant.
To test the hypothesis drawn from this literature review, we will conduct a quantitative study to analyze the behavior of the listeners and put it in parallel with what we have learned about this industry previously. |
| Programme : |
MSc Business Analytics |
| Permalink : |
https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=563770 |
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How do music streaming platforms use Data Analytics to shape musical taste of consumers? / 2022 
