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Conference Paper: Artist Preferences and Cultural, Socio-economic Distances Across Countries: A Big Data Perspective
Title | Artist Preferences and Cultural, Socio-economic Distances Across Countries: A Big Data Perspective |
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Authors | |
Issue Date | 2017 |
Publisher | International Society for Music Information Retrieval. |
Citation | The 18th International Society for Music Information Retrieval Conference, Suzhou, China, 23-27 October 2017, p. 103-111 How to Cite? |
Abstract | Users in different countries may have different music preferences,
possibly due to geographical, economic, linguistic,
and cultural factors. Revealing the relationship between
music preference and cultural socio-economic differences
across countries is of great importance for music
information retrieval in a cross-country or cross-cultural
context. Existing works are usually based on small samples
in one or several countries or take only one or two
socio-economic aspects into account. To bridge the gap,
this study makes use of a large-scale music listening
dataset, LFM-1b with more than one billion music listening
logs, to explore possible associations between a variety
of cultural and socio-economic measurements and artist
preferences in 20 countries. From a big data perspective,
the results reveal: 1) there is a highly uneven distribution
of preferred artists across countries; 2) the linguistic differences
among these countries are positively associated with
the distances in artist preferences; 3) country differences
in three of the six cultural dimensions considered in this
study have positive influences on the difference of artist
preferences among the countries; and 4) geographical and
economic distances among the countries have no signifi-
cant relationship with their artist preferences. |
Persistent Identifier | http://hdl.handle.net/10722/248016 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Liu, M | - |
dc.contributor.author | Hu, X | - |
dc.contributor.author | Schedl, M | - |
dc.date.accessioned | 2017-10-18T08:36:24Z | - |
dc.date.available | 2017-10-18T08:36:24Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | The 18th International Society for Music Information Retrieval Conference, Suzhou, China, 23-27 October 2017, p. 103-111 | - |
dc.identifier.isbn | 978-981-11-5179-8 | - |
dc.identifier.uri | http://hdl.handle.net/10722/248016 | - |
dc.description.abstract | Users in different countries may have different music preferences, possibly due to geographical, economic, linguistic, and cultural factors. Revealing the relationship between music preference and cultural socio-economic differences across countries is of great importance for music information retrieval in a cross-country or cross-cultural context. Existing works are usually based on small samples in one or several countries or take only one or two socio-economic aspects into account. To bridge the gap, this study makes use of a large-scale music listening dataset, LFM-1b with more than one billion music listening logs, to explore possible associations between a variety of cultural and socio-economic measurements and artist preferences in 20 countries. From a big data perspective, the results reveal: 1) there is a highly uneven distribution of preferred artists across countries; 2) the linguistic differences among these countries are positively associated with the distances in artist preferences; 3) country differences in three of the six cultural dimensions considered in this study have positive influences on the difference of artist preferences among the countries; and 4) geographical and economic distances among the countries have no signifi- cant relationship with their artist preferences. | - |
dc.language | eng | - |
dc.publisher | International Society for Music Information Retrieval. | - |
dc.relation.ispartof | Proceedings of the 18th International Society for Music Information Retrieval Conference | - |
dc.title | Artist Preferences and Cultural, Socio-economic Distances Across Countries: A Big Data Perspective | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hu, X: xiaoxhu@hku.hk | - |
dc.identifier.authority | Hu, X=rp01711 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.hkuros | 281459 | - |
dc.identifier.hkuros | 275071 | - |
dc.identifier.spage | 103 | - |
dc.identifier.epage | 111 | - |
dc.publisher.place | Suzhou, China | - |