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27
May
Since the beginning of the twenty-first century, the digital revolution has radically affected the music industry and is continuously reforming the business model of music economy. As of today, previously-established channels of music distribution have been replaced and new industry stakeholders have emerged. Among them, on-demand music recommendation and streaming services feature as the disruptive innovators of the new digital music ecosystem.
In the upcoming human-centered digital age, the novel process of prosumption (resulting from the blending of producer and consumer actions) is anticipated to reform human–computer interactions. Online users’ music listening practices, being fed back to recommendation services, is expected to drastically shape the selection of music that the listeners would eventually experience. This opens a new application field for low-cost neuroimaging devices to implement the ’bio-monitoring’ of the listener’s aesthetic experience and introduce bio-personalization properties in future music recommendation services.
In the following study, researchers from Neuroinformatics GRoup of Aristotle University of Thessaloniki introduce a metric which can be exploited by existing music recommendation schemes to enhance the user-preference profile with bio-personalization attributes or assess the ’success’ of a recommendation (e.g. song or music-genre).
Adamos DA, Dimitriadis SI and Laskaris NA, Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference, Information Sciences, Volumes 343–344, 20 May 2016, Pages 94-108, ISSN 0020-0255, DOI:10.1016/j.ins.2016.01.005
- Published by Dimitrios A. Adamos in: Stories
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