Proceedings of the 1st International ACM Workshop on Music Information Retrieval With User-Centered and Multimodal Strategies 2011
DOI: 10.1145/2072529.2072538
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Finding geographically representative music via social media

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Cited by 3 publications
(2 citation statements)
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“…There are several methods to recommend music according to location cues, for example, choosing traditional music with respect to the input location [9], or as Kaminskas et al [5] proposed, a place of interest (POI) can be matched to music tracks by their relationships on the ontology graph, or by their overlap ratio of emotional and physical tags. Here we used musicmicro dataset provided by Schedl [10] for its easy accessibility.…”
Section: Location-aware Music Selectionmentioning
confidence: 99%
“…There are several methods to recommend music according to location cues, for example, choosing traditional music with respect to the input location [9], or as Kaminskas et al [5] proposed, a place of interest (POI) can be matched to music tracks by their relationships on the ontology graph, or by their overlap ratio of emotional and physical tags. Here we used musicmicro dataset provided by Schedl [10] for its easy accessibility.…”
Section: Location-aware Music Selectionmentioning
confidence: 99%
“…Consequently, the application of information technologies to the dissemination of cultural heritage has privileged visual content. The role of music as a significant contributor to cultural heritage is undisputed, and there are numerous projects regarding the relationship between music and places, from the use of music as an aid to teaching geography [31] to the automatic identification of music that is representative of a geographical area through social media mining [24]. Musical works have been geolocated and made accessible through a web interface representing a stylized planisphere [19] and cartography inspired Island of Music [23], a two-dimensional representation of a music collection obtained from self-organizing maps.…”
Section: Introductionmentioning
confidence: 99%