نتائج البحث - "Music recommender systems"

Relation: info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/; RecSys '22: Proceedings of the 16th ACM Conference on Recommender Systems; https://doi.org/10.1145/3523227.3546776; Gabbolini, G. and Bridge, D. (2022) ‘A user-centered investigation of personal music tours’, Sixteenth ACM Conference on Recommender Systems (RecSys '22), Seattle, WA, USA, 18-23 Sept. ACM, New York, NY, USA: ACM, pp. 25-34. doi:10.1145/3523227.3546776; 34; 25; http://hdl.handle.net/10468/14048

الاتاحة: http://hdl.handle.net/10468/14048
https://doi.org/10.1145/3523227.3546776

View record in BASE

8

Conference

The sound of music: from increased personalization to therapeutic values

المؤلفون: Cáceres, Ileana Sofía Inés, Ghosh, Souvick

مصطلحات موضوعية: Music Information Retrieval, Music Recommender Systems, User Interface Design, Music Therapy, 020 Bibliotheks- und Informationswissenschaften, ddc:020

وصف الملف: application/pdf

Relation: http://edoc.hu-berlin.de/18452/25974; urn:nbn:de:kobv:11-110-18452/25974-7; http://dx.doi.org/10.18452/25246

الاتاحة: http://edoc.hu-berlin.de/18452/25974
https://nbn-resolving.org/urn:nbn:de:kobv:11-110-18452/25974-7
https://doi.org/10.18452/25246

View record in BASE

9

A collaborative filtering method for music recommendation

المؤلفون: Manso, João Pedro Real

المساهمون: Castelli, Mauro, RUN

مصطلحات موضوعية: Recommender Systems, Music Recommender Systems, Collaborative Filtering, K-nearest Neighbors

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/10362/99079

View record in RCAAP

10

Academic Journal

Support the underground: characteristics of beyond-mainstream music listeners

المؤلفون: Dominik Kowald, Peter Muellner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex

المصدر: EPJ Data Science, Vol 10, Iss 1, Pp 1-26 (2021)

مصطلحات موضوعية: Music recommender systems, Acoustic features, Last.fm, Clustering, User modeling, Fairness, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2193-1127

URL الوصول: https://doaj.org/article/3c567a168fae4beb99fe89482163bb0a

View record in DOAJ

Full Text Finder

11

Report

Reproducibility Report of the paper: 'Break the Loop: Gender Imbalance in Music Recommenders'

المؤلفون: Bambrah, Taranpreet Kaur, Boltz, Joachim, Macho, Julia, Mwita, Chacha Raphael

مصطلحات موضوعية: Reproduce, Music Recommender systems, evaluation, bias, neural gaze

Relation: https://doi.org/10.5281/zenodo.7591173; https://doi.org/10.5281/zenodo.7591174; oai:zenodo.org:7591174

الاتاحة: https://doi.org/10.5281/zenodo.7591174

View record in BASE

12

Academic Journal

Diversity by Design in Music Recommender Systems

المؤلفون: Lorenzo Porcaro, Carlos Castillo, Emilia Gómez

المصدر: Transactions of the International Society for Music Information Retrieval, Vol 4, Iss 1 (2021)

مصطلحات موضوعية: music recommender systems, diversity, information technology, Information technology, T58.5-58.64, Music, M1-5000

وصف الملف: electronic resource

Relation: https://transactions.ismir.net/articles/106; https://doaj.org/toc/2514-3298

URL الوصول: https://doaj.org/article/277cbc12b77a4863bcf6e241c827c9a2

View record in DOAJ

13

Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors

المؤلفون: Schedl, Markus, Lemmerich, Florian, Ferwerda, Bruce, 1986, Skowron, Marcin, Knees, Peter

المصدر: Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017. :308-311

مصطلحات موضوعية: Cultural backgrounds, Cultural studies, Hofstede's cultural dimensions, Music, Music recommender systems, Quadratic assignment, Social media analysis, Socio-economic factor

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-37615
https://hj.diva-portal.org/smash/get/diva2:1149823/FULLTEXT01.pdf

View record in SwePub

14

Large-scale Analysis of Group-specific Music Genre Taste From Collaborative Tags

المؤلفون: Schedl, Markus, Ferwerda, Bruce, 1986

المصدر: Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017. :479-482

مصطلحات موضوعية: Abstraction layer, Large-scale analysis, Music recommender systems, Music retrieval, Musical genre, Social Tags, User levels, User models

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-37614
https://hj.diva-portal.org/smash/get/diva2:1149812/FULLTEXT01.pdf

View record in SwePub

15

Conference

Artist biases in collaborative filtering for music recommendation

المؤلفون: Ferraro, Andrés, Jeon, Jea Ho, Kim, Biho, Serra, Xavier, Bogdanov, Dmitry

مصطلحات موضوعية: Music recommender systems, Exposure, Multi-stakeholder recommendation, Bias

وصف الملف: application/pdf

Relation: Proceedings of the 37 th International Conference on Machine Learning; 2020 Jul 13-18; Vienna, Austria. [Vienna]: ICML; 2020. [3 p.]; http://hdl.handle.net/10230/45185

الاتاحة: http://hdl.handle.net/10230/45185

View record in BASE

16

Academic Journal

Support the Underground: Characteristics of Beyond-Mainstream Music Listeners

المؤلفون: Kowald, Dominik, Müllner, Peter, Zangerle, Eva, Bauer, Christine, Schedl, Markus, Lex, Elisabeth

المساهمون: Sub Human-Centered Computing, Human-Centered Computing

مصطلحات موضوعية: Acoustic features, Beyond-mainstream users, Clustering, Fairness, Last.fm, Music recommender systems, Popularity bias, User modeling, Modelling and Simulation, Computer Science Applications, Computational Mathematics

وصف الملف: application/pdf

Relation: https://dspace.library.uu.nl/handle/1874/411792

الاتاحة: https://dspace.library.uu.nl/handle/1874/411792

View record in BASE

Full Text Finder

17

Academic Journal

A hybrid recommender system for improving automatic playlist continuation

المؤلفون: Gatzioura, Anna, Vinagre, João, Jorge, Alípio Mário, Sànchez-Marrè, Miquel

المساهمون: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic

مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Recommender systems (Information filtering), Computer algorithms, Hybrid recommender system, Automatic playlist continuation, Music recommender systems, Latent dirichlet allocation, Case-based reasoning, Beyond accuracy dimensions, Sistemes recomanadors (Filtratge d'informació), Algorismes computacionals

وصف الملف: 12 p.; application/pdf

Relation: https://ieeexplore.ieee.org/document/8894369; info:eu-repo/grantAgreement/AGAUR/RIS3CAT/2017 SGR 574; Gatzioura, A. [et al.]. A hybrid recommender system for improving automatic playlist continuation. "IEEE transactions on knowledge and data engineering", 1 Maig 2021, vol. 33, núm. 5, p. 1819-1830.; http://hdl.handle.net/2117/188974

الاتاحة: http://hdl.handle.net/2117/188974
https://doi.org/10.1109/TKDE.2019.2952099

View record in BASE

18

Dissertation/ Thesis

Modeling and Influencing Music Preferences on Streaming Platforms ; Modéliser et Influencer les Préférences Musicales sur les Plateformes de Streaming

المؤلفون: Matrosova, Kristina

المساهمون: Laboratoire d'Informatique de Paris-Nord (LIPN), Centre National de la Recherche Scientifique (CNRS)-Université Sorbonne Paris Nord, Géographie-cités (GC (UMR_8504)), Université Paris 1 Panthéon-Sorbonne (UP1)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Deezer Research, Université Sorbonne Paris Nord, Olivier Bodini, Thomas Louail, Manuel Moussallam

المصدر: https://hal.science/tel-04865002 ; Computer Science [cs]. Université Sorbonne Paris Nord, 2024. English. ⟨NNT : ⟩.

مصطلحات موضوعية: music recommender systems, taste modeling, user modeling, fairness, systèmes de recommandation de musique, modélisation du gout, modélisation utilisateur, équité, [INFO]Computer Science [cs]