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1Dissertation/ Thesis
المؤلفون: Ferraro, Andrés
المساهمون: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
Thesis Advisors: Serra Casals, Xavier
المصدر: TDX (Tesis Doctorals en Xarxa)
مصطلحات موضوعية: Music recommender systems, Music information retrieval, Ethics, Bias, Music artists, Fairness, Gender balance, Sistemas de recomendación musical, Recuperación de información musical, Ética, Sesgos, Artistas musicales, Balance de género
وصف الملف: application/pdf
URL الوصول: http://hdl.handle.net/10803/672852
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2Academic Journal
المؤلفون: DeLeon, John, Brown, Lee Warren
المصدر: Journal of Strategy and Management, 2023, Vol. 16, Issue 3, pp. 576-591.
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3Academic Journal
مصطلحات موضوعية: Neurociência, Cognição musical, Perceção dos músicos, Performance, Neuro-science, Musical cognition, Perception of music artists
Relation: http://hdl.handle.net/10400.14/43522
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4Book
المؤلفون: Dinnissen, Karlijn, Bauer, Christine
المساهمون: Sub Human-Centered Computing, Human-Centered Computing
مصطلحات موضوعية: fairness, music recommendation, recommender systems, transparency, control, music artists, music industry professoinals
وصف الملف: application/pdf
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5Academic Journal
المصدر: InCID: Revista de Ciência da Informação e Documentação; v. 14 n. 2 (2023); 175-196 ; 2178-2075
مصطلحات موضوعية: Dados de autoridade, Artistas da música, Resource Description and Access, RDA, Authority data, Music artists
وصف الملف: text/xml; application/pdf
Relation: https://revistas.usp.br/incid/article/view/202351/204798; https://revistas.usp.br/incid/article/view/202351/200688; https://revistas.usp.br/incid/article/view/202351
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6Academic Journal
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience -
7Academic Journal
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience -
8Academic Journal
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience -
9Academic Journal
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience Relation: https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166
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10Report
المؤلفون: Svendsby, Oda Tusberg
المصدر: Svendsby, Oda Tusberg. Selvrealisering, selvomsorg eller selvbedrag? Sosiale mediers inntog og innflytelse på artistyrket. Master thesis, University of Oslo, 2023
الاتاحة: http://hdl.handle.net/10852/104732
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11Academic Journal
المصدر: Environment-Behaviour Proceedings Journal; Vol. 7 No. SI9 (2022): Oct. Special Issue No. 9, International Virtual Colloquium on Multi-Disciplinary Research Impact (3rd Series), MEE 2.0: International Conference of Logistics and Transportation (ICLT2022), Best Western I-City Shah Alam, Selangor, Malaysia.05-06 Oct 2022 ; 559-561 ; 2398-4287 ; 10.21834/ebpj.v7iSI9
مصطلحات موضوعية: Digital Audio Visual, Music Artists, Music Industry, Music Video Producer, Technology
وصف الملف: application/pdf
Relation: https://ebpj.e-iph.co.uk/index.php/EBProceedings/article/view/3956/2413; https://ebpj.e-iph.co.uk/index.php/EBProceedings/article/view/3956
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12Conference
المؤلفون: Ferraro, Andres, Serra, Xavier, Bauer, Christine
المصدر: INTERACT 2021, 18th IFIP TC.13 International Conference on Human-Computer Interaction, Bari, Italy, 30 August 2021
مصطلحات موضوعية: music artists, fairness, music streaming platform, transparency, quotas, lack of control, gender balance, music context, influencing taste
Relation: https://zenodo.org/communities/ismir; https://doi.org/10.5281/zenodo.4793394; https://doi.org/10.5281/zenodo.4793395; oai:zenodo.org:4793395
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13
المؤلفون: Ek Styvén, Maria, Professor, 1969, Nilsson Vestola, Jenny
مصطلحات موضوعية: Brand authenticity, human brands, stereotyping, music artists, Industrial Marketing, Industriell marknadsföring
وصف الملف: print
URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-105313
https://www.napier.ac.uk/about-us/our-schools/the-business-school/global-brand-conference -
14Report
المؤلفون: Magdalena Chudy, Ewa Kuśmierek, Tomasz Parkoła, Ewa Łukasik
مصطلحات موضوعية: folk music artists, infrastructural requirements
Relation: https://zenodo.org/record/7143009; https://zenodo.org/communities/dariah; https://doi.org/10.5281/zenodo.7139580; https://doi.org/10.5281/zenodo.7139581; oai:zenodo.org:7139581
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15Academic Journal
المؤلفون: Oliveira, Evandro
المصدر: Revista Internacional de Relaciones Públicas, ISSN 2174-3681, Vol. 13, Nº. 26, 2023 (Ejemplar dedicado a: Problemáticas silenciadas o invisibilizadas en las organizaciones. Una mirada desde las Relaciones Públicas y la Comunicación Organizacional (Julio-Diciembre)), pags. 141-160
مصطلحات موضوعية: Medios sociales, Artistas musicales, comunicación online, relaciones publicas, comunidades, social networks, music artists, online communication, public relations, communities
وصف الملف: application/pdf
Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=9319374; (Revista) ISSN 2174-3681
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16Image
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience -
17Image
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience -
18Image
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience -
19Image
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience -
20Image
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately,
+music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience
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