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pro vyhledávání: '"Last.fm"'
Autor:
Elmhirst, Sophie
Publikováno v:
New Statesman. 6/22/2009, Vol. 138 Issue 4954, p36-38. 3p. 3 Color Photographs.
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-26 (2021)
Abstract Music recommender systems have become an integral part of music streaming services such as Spotify and Last.fm to assist users navigating the extensive music collections offered by them. However, while music listeners interested in mainstrea
Externí odkaz:
https://doaj.org/article/3c567a168fae4beb99fe89482163bb0a
Autor:
Marcin Frąś
Publikováno v:
Archiwa - Kancelarie - Zbiory, Vol 0, Iss 6(8)/, Pp 237-247 (2016)
W artykule zostały przedstawione rozważania dotyczące wartości i zawartości profili użytkowników na portalach hobbystycznych. Badana problematyka jest częścią większego zagadnienia. Chodzi o zachowanie osobistych zbiorów cyfrowych. Szczeg
Externí odkaz:
https://doaj.org/article/0fdf44be903f402eb755fe4834a39234
Publikováno v:
Marketing Research. Winter2011, Vol. 23 Issue 4, p3-3. 1/5p. 1 Color Photograph.
Akademický článek
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Autor:
Dean Cochran
While personalized music recommendation has changed the way many users listen tomusic. Graph Neural Networks have also become a state-of-the-art machine learningpractice for predicting recommendations. The LFM-1b is a data set contains a high density
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cc7e3173096e110d2bcb3f10224946e
Autor:
Carlin, Dan
Publikováno v:
BusinessWeek Online. 11/13/2006, p14-14. 1p.
Autor:
Breen, Christopher
Publikováno v:
Macworld. May2011, Vol. 28 Issue 5, p69-69. 1p.
Autor:
Hogge, Becky
Publikováno v:
New Statesman. 6/18/2007, Vol. 136 Issue 4849, p56-56. 1/2p. 1 Illustration.
Autor:
Kowald, Dominik, Müllner, Peter, Zangerle, Eva, Bauer, Christine, Schedl, Markus, Lex, Elisabeth, Sub Human-Centered Computing, Human-Centered Computing
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-26 (2021)
EPJ Data Science, 10(1), 1. Springer Open
Epj Data Science
EPJ Data Science, 10(1), 1. Springer Open
Epj Data Science
Music recommender systems have become an integral part of music streaming services such as Spotify and Last.fm to assist users navigating the extensive music collections offered by them. However, while music listeners interested in mainstream music a