Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Igor André Pegoraro Santana"'
Publikováno v:
Information Management and Big Data ISBN: 9783030762278
SIMBig
SIMBig
Day by day, online content delivery services suppliers grow the volume of data on the internet. Music streaming services are one of those services that increase the number of users every day, as well as the number of songs in their catalog. To help t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ef7b50996b2b72d0db332f382829d60
https://doi.org/10.1007/978-3-030-76228-5_22
https://doi.org/10.1007/978-3-030-76228-5_22
Autor:
Igor André Pegoraro Santana, Juliano Donini, Leonardo Gabiato Catharin, Marcos Aurélio Domingues, Rafael B. Mangolin, Yandre M. G. Costa, Valéria Delisandra Feltrim, Fabio Pinhelli
Publikováno v:
IWSSIP
One of the goals of the music information retrieval (MIR) community is to research new methods and create new systems that can efficiently and effectively retrieve and recommend songs from large databases of music content. Despite the volume of resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0096331ba5d92ed2e0e7175d21f77237
https://doi.org/10.1109/iwssip48289.2020.9145170
https://doi.org/10.1109/iwssip48289.2020.9145170
Autor:
Juliano Donini, Igor André Pegoraro Santana, Marcos Aurélio Domingues, Camila Vaccari Sundermann, Solange Oliveira Rezende, Abner Suniga
Publikováno v:
WI
A recommender system can be defined as an information filtering technology which can be used to output a ranking of items (e.g. products, places, etc) that are likely to be of interest to a user. Context-aware recommender systems makes recommendation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6a2a4153714877b56fe6b8c7ba4a3f0
https://doi.org/10.1109/wi.2018.00-42
https://doi.org/10.1109/wi.2018.00-42