A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation

Detalhes bibliográficos
Principais autores: Dânia Naomi Osato Meira, DANIA NAOMI OSATO MEIRA
Data de Publicação: 2015
Tipo de documento: Dissertação
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=2402533
id BRCRIS_ce9e68e72ed16dbac64dc9b78f8bb706
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
title A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
spellingShingle A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
scalable recommender systems, collaborative filtering, matrix factorization, alternating least squares, Apache Spark, Apache Hadoop, MLlib, Mahout
sistemas de recomendação escaláveis, filtro colaborativo, fatoração de matrizes, alternating least squares, Apache Spark, Apache Hadoop, MLlib, Mahout
Dânia Naomi Osato Meira
DANIA NAOMI OSATO MEIRA
title_short A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
title_full A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
title_fullStr A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
title_full_unstemmed A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
title_sort A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation
topic scalable recommender systems, collaborative filtering, matrix factorization, alternating least squares, Apache Spark, Apache Hadoop, MLlib, Mahout
sistemas de recomendação escaláveis, filtro colaborativo, fatoração de matrizes, alternating least squares, Apache Spark, Apache Hadoop, MLlib, Mahout
publishDate 2015
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=2402533
author_role author
author Dânia Naomi Osato Meira
DANIA NAOMI OSATO MEIRA
author_facet Dânia Naomi Osato Meira
DANIA NAOMI OSATO MEIRA
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/8651120265403591
dc.contributor.advisor1.fl_str_mv JOSE VITERBO FILHO
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8721187139726277
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000203396624
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL FLUMINENSE
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL FLUMINENSE
instname_str UNIVERSIDADE FEDERAL FLUMINENSE
dc.publisher.program.fl_str_mv COMPUTAÇÃO
dc.description.course.none.fl_txt_mv COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESA Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering RecommendationA Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering RecommendationA Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering RecommendationA Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering RecommendationA Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering RecommendationA Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering RecommendationA Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendationscalable recommender systems, collaborative filtering, matrix factorization, alternating least squares, Apache Spark, Apache Hadoop, MLlib, Mahout2015masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=2402533authorDânia Naomi Osato Meirahttp://lattes.cnpq.br/8651120265403591JOSE VITERBO FILHOhttp://lattes.cnpq.br/8721187139726277https://orcid.org/0000000203396624UNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSEUNIVERSIDADE FEDERAL FLUMINENSECOMPUTAÇÃOCOMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv Meira, Dânia Naomi Osato. A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation. 2015. Tese.
dc.identifier.citation.fl_str_mv Meira, Dânia Naomi Osato. A Comparative Study of Scalable Implementations of the Alternating Least Squares Algorithm for Collaborative Filtering Recommendation. 2015. Tese.
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