Automatic Music Recommendation for Businesses : Using a two-stage Membership model for track recommendation

Automatic Music Recommendation for Businesses : Using a two-stage Membership model for track recommendation

This thesis proposes a two-stage recommendation system for providing music recommendations based on seed playlists as inputs. The goal is to help businesses find relevant and brand-fit music to play in their venues. The problem of recommending music using machine learning has been investigated quite...

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Bibliographic Details
Main Author: Haapanen Rollenhagen, Svante
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Deep Learning
Music Recommendation
Recommendation Systems
Music Informatics.
Djupinlärning
Musikrekommendation
Rekommendationssystem
Musikinformatik.
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303007

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303007

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