CityMUS: Music recommendation when exploring a city

Lisena, Pasquale; Canale, Lorenzo; Ellena, Fabio; Troncy, Raphaël

Linked Data makes possible the discovery of interesting connections between semantic entities that belong to di erent domains. This paper presents CityMUS, a web application that gives to the user the experience of a walk in the city with the most suitable soundtrack, on the base of the urban context. The application relies on a recommender
system that searches for paths in a knowledge graph between nearby places and music composers, making use of a combination of DBpedia and domain-speci c datasets.

Type:
Poster / Demo
City:
Vienna
Date:
2017-10-21
Department:
Data Science
Eurecom Ref:
5303
Copyright:
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in

PERMALINK : https://www.eurecom.fr/publication/5303