Ecole d'ingénieur et centre de recherche en Sciences du numérique

CityMUS: Music recommendation when exploring a city

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

ISWC 2017, 16th International Semantic Web Conference, Poster Track, October 21-25, 2017, Vienna, Austria

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.

Document Bibtex

Titre:CityMUS: Music recommendation when exploring a city
Type:Poster / Demo
Langue:English
Ville:Vienna
Pays:AUTRICHE
Date:
Département: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 ISWC 2017, 16th International Semantic Web Conference, Poster Track, October 21-25, 2017, Vienna, Austria
Bibtex: @poster / demo{EURECOM+5303, year = {2017}, title = {{C}ity{MUS}: {M}usic recommendation when exploring a city}, author = {{L}isena, {P}asquale and {C}anale, {L}orenzo and {E}llena, {F}abio and {T}roncy, {R}apha{\"e}l}, number = {EURECOM+5303}, month = {10}, institution = {Eurecom} address = {{V}ienna, {AUTRICHE}}, url = {http://www.eurecom.fr/publication/5303} }
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