Machine Learning Strategies for Rank Aggregation in Recommender Systems

Detalhes bibliográficos
Autor(a) principal: Samuel Evangelista Lima de Oliveira
Data de Publicação: 2020
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10041643
id BRCRIS_688290211abb58124411b03a2c56a4d6
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Machine Learning Strategies for Rank Aggregation in Recommender Systems
title Machine Learning Strategies for Rank Aggregation in Recommender Systems
spellingShingle Machine Learning Strategies for Rank Aggregation in Recommender Systems
Machine Learning
Aprendizado de Máquina
Samuel Evangelista Lima de Oliveira
title_short Machine Learning Strategies for Rank Aggregation in Recommender Systems
title_full Machine Learning Strategies for Rank Aggregation in Recommender Systems
title_fullStr Machine Learning Strategies for Rank Aggregation in Recommender Systems
Machine Learning Strategies for Rank Aggregation in Recommender Systems
title_full_unstemmed Machine Learning Strategies for Rank Aggregation in Recommender Systems
Machine Learning Strategies for Rank Aggregation in Recommender Systems
title_sort Machine Learning Strategies for Rank Aggregation in Recommender Systems
topic Machine Learning
Aprendizado de Máquina
publishDate 2020
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10041643
author_role author
author Samuel Evangelista Lima de Oliveira
author_facet Samuel Evangelista Lima de Oliveira
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9449123987078195
dc.contributor.advisor1.fl_str_mv GISELE LOBO PAPPA
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5936682335701497
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE MINAS GERAIS
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE MINAS GERAIS
instname_str UNIVERSIDADE FEDERAL DE MINAS GERAIS
dc.publisher.program.fl_str_mv CIÊNCIAS DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv CIÊNCIAS DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESMachine Learning Strategies for Rank Aggregation in Recommender SystemsMachine Learning Strategies for Rank Aggregation in Recommender SystemsMachine Learning Strategies for Rank Aggregation in Recommender SystemsMachine Learning Strategies for Rank Aggregation in Recommender SystemsMachine Learning Strategies for Rank Aggregation in Recommender SystemsMachine Learning Strategies for Rank Aggregation in Recommender SystemsMachine Learning Strategies for Rank Aggregation in Recommender SystemsMachine Learning2020doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10041643authorSamuel Evangelista Lima de Oliveirahttp://lattes.cnpq.br/9449123987078195GISELE LOBO PAPPAhttp://lattes.cnpq.br/5936682335701497UNIVERSIDADE FEDERAL DE MINAS GERAISUNIVERSIDADE FEDERAL DE MINAS GERAISUNIVERSIDADE FEDERAL DE MINAS GERAISCIÊNCIAS DA COMPUTAÇÃOCIÊNCIAS DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv Oliveira, Samuel Evangelista Lima de. Machine Learning Strategies for Rank Aggregation in Recommender Systems. 2020. Tese.
dc.identifier.citation.fl_str_mv Oliveira, Samuel Evangelista Lima de. Machine Learning Strategies for Rank Aggregation in Recommender Systems. 2020. Tese.
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