Herzog, MartinLepa, SteffenEgermann, Hauke2017-07-132017-07-132016https://depositonce.tu-berlin.de/handle/11303/6475http://dx.doi.org/10.14279/depositonce-5983Within the MIR community, most prediction models of musical impact on listeners focus on mood or emotional effects (perceived or induced). The ABC_DJ project investigates the associative impact of music on listeners from the specific perspective of music branding that surrounds us in our everyday lives. We pre-sent a general concept for applying automatic music rec-ommendation within this domain. Creating a scientifically validated basic terminology for communicating brand at-tributes and human emotions in this field is the key chal-lenge. As a first result, we introduce the Music Branding Expert Terminology (MBET), a comprehensive terminology of verbal attributes used in music branding, upon which a pre-diction model will be developed to facilitate automatic mu-sic recommendation in the context of music branding.en003 Systemeaudio brandingmusic brandingMBETMIRmusic featuresConference Object