Padrões de design de interação para Sistemas de Recomendação.

Detalhes bibliográficos
Autor(a) principal: ANDRADE, Leanjoelson Souza
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFMA
Texto Completo: https://tedebc.ufma.br/jspui/handle/tede/tede/2333
Resumo: Recommender Systems are software tools that provide suggestions for items that may be useful to the user. These systems create a profile for storing usage data, which is used to indicate new products. Recommender Systems are present in virtual stores, streaming services, travel websites, among others. This dissertation aims to investigate and present interaction patterns for recommender systems. To achieve this goal the study was divided into three stages. In the first phase, a systematic review was carried out to identify research related to interaction elements of the recommender systems. Then, thirteen digital platforms were selected that adopt recommender systems and the Cognitive Walkthrough was carried out to map the interaction elements. With the collected data it was possible to elaborate interaction patterns that could help designers and developers in future projects of recommender systems.
id UFMA_1324ebb1832104a9a8b892fa49cce595
oai_identifier_str oai:tede2:tede/2333
network_acronym_str UFMA
network_name_str Biblioteca Digital de Teses e Dissertações da UFMA
repository_id_str 2131
spelling SOARES NETO, Carlos de Salles780.057.283-87http://lattes.cnpq.br/1512846862093142SOARES NETO, Carlos de Salles780.057.283-87http://lattes.cnpq.br/1512846862093142OBREGON, Rosane de Fátima Antuneshttp://lattes.cnpq.br/2057021074983466ZANDOMENEGHI, Ana Lucia Alexandre de Oliveirahttp://lattes.cnpq.br/1468204044350566GUEDES, Álan Livio Vasconceloshttp://lattes.cnpq.br/1481576313942910001.582.063-71http://lattes.cnpq.br/9836914176257802ANDRADE, Leanjoelson Souza2018-08-09T14:08:25Z2018-05-30ANDRADE, Leanjoelson Souza. Padrões de design de interação para Sistemas de Recomendação.. 2018. 88 folhas. Dissertação(Programa de Pós-Ggraduação em Design/CCET) - Universidade Federal do Maranhão, São Luis.https://tedebc.ufma.br/jspui/handle/tede/tede/2333Recommender Systems are software tools that provide suggestions for items that may be useful to the user. These systems create a profile for storing usage data, which is used to indicate new products. Recommender Systems are present in virtual stores, streaming services, travel websites, among others. This dissertation aims to investigate and present interaction patterns for recommender systems. To achieve this goal the study was divided into three stages. In the first phase, a systematic review was carried out to identify research related to interaction elements of the recommender systems. Then, thirteen digital platforms were selected that adopt recommender systems and the Cognitive Walkthrough was carried out to map the interaction elements. With the collected data it was possible to elaborate interaction patterns that could help designers and developers in future projects of recommender systems.Sistemas de recomendação são ferramentas de softwares que fornecem sugestões de itens que possam ser úteis para o usuário. Esses sistemas criam um perfil para armazenar os dados de uso, que são utilizados para indicar novos produtos. Os Sistemas de recomendação estão presentes em lojas virtuais, serviços de streaming, sites de viagens, entre outros. Esta dissertação tem como objetivo investigar e apresentar padrões de interação para sistemas de recomendação. Para alcançar esse objetivo o trabalho foi dividido em três etapas. Na primeira fase, foi realizada uma revisão sistemática para identificar pesquisas relacionadas a elementos de interação dos sistemas de recomendação. Em seguida, foram selecionadas treze plataformas digitais que adotam sistemas de recomendação e realizado o Percurso Cognitivo para mapear os elementos de interação. Com os dados coletados foi possível elaborar padrões de interação que poderão auxiliar designers e desenvolvedores em projetos futuros de sistemas de recomendação.Submitted by Maria Aparecida (cidazen@gmail.com) on 2018-08-09T14:08:25Z No. of bitstreams: 1 Leanjoelson Souza.pdf: 3009374 bytes, checksum: d70354b5a3aa859afad391901f876392 (MD5)Made available in DSpace on 2018-08-09T14:08:25Z (GMT). No. of bitstreams: 1 Leanjoelson Souza.pdf: 3009374 bytes, checksum: d70354b5a3aa859afad391901f876392 (MD5) Previous issue date: 2018-05-30application/pdfporUniversidade Federal do MaranhãoPROGRAMA DE PÓS-GRADUAÇÃO EM DESIGN/CCETUFMABrasilDEPARTAMENTO DE INFORMÁTICA/CCETDesign de interação; Percurso cognitivo; Sistema de recomendaçãoInteraction design; Cognitive Walkthrough; Recommender SystemsEngenharia de Software.Padrões de design de interação para Sistemas de Recomendação.Interaction Design Patterns for Recommendation Systems.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFMAinstname:Universidade Federal do Maranhão (UFMA)instacron:UFMAORIGINALLeanjoelson Souza.pdfLeanjoelson Souza.pdfapplication/pdf3009374http://tedebc.ufma.br:8080/bitstream/tede/2333/2/Leanjoelson+Souza.pdfd70354b5a3aa859afad391901f876392MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82255http://tedebc.ufma.br:8080/bitstream/tede/2333/1/license.txt97eeade1fce43278e63fe063657f8083MD51tede/23332018-08-09 11:08:25.745oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttps://tedebc.ufma.br/jspui/PUBhttp://tedebc.ufma.br:8080/oai/requestrepositorio@ufma.br||repositorio@ufma.bropendoar:21312018-08-09T14:08:25Biblioteca Digital de Teses e Dissertações da UFMA - Universidade Federal do Maranhão (UFMA)false
dc.title.por.fl_str_mv Padrões de design de interação para Sistemas de Recomendação.
dc.title.alternative.eng.fl_str_mv Interaction Design Patterns for Recommendation Systems.
title Padrões de design de interação para Sistemas de Recomendação.
spellingShingle Padrões de design de interação para Sistemas de Recomendação.
ANDRADE, Leanjoelson Souza
Design de interação; Percurso cognitivo; Sistema de recomendação
Interaction design; Cognitive Walkthrough; Recommender Systems
Engenharia de Software.
title_short Padrões de design de interação para Sistemas de Recomendação.
title_full Padrões de design de interação para Sistemas de Recomendação.
title_fullStr Padrões de design de interação para Sistemas de Recomendação.
title_full_unstemmed Padrões de design de interação para Sistemas de Recomendação.
title_sort Padrões de design de interação para Sistemas de Recomendação.
author ANDRADE, Leanjoelson Souza
author_facet ANDRADE, Leanjoelson Souza
author_role author
dc.contributor.advisor1.fl_str_mv SOARES NETO, Carlos de Salles
dc.contributor.advisor1ID.fl_str_mv 780.057.283-87
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/1512846862093142
dc.contributor.referee1.fl_str_mv SOARES NETO, Carlos de Salles
dc.contributor.referee1ID.fl_str_mv 780.057.283-87
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/1512846862093142
dc.contributor.referee2.fl_str_mv OBREGON, Rosane de Fátima Antunes
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/2057021074983466
dc.contributor.referee3.fl_str_mv ZANDOMENEGHI, Ana Lucia Alexandre de Oliveira
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/1468204044350566
dc.contributor.referee4.fl_str_mv GUEDES, Álan Livio Vasconcelos
dc.contributor.referee4Lattes.fl_str_mv http://lattes.cnpq.br/1481576313942910
dc.contributor.authorID.fl_str_mv 001.582.063-71
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9836914176257802
dc.contributor.author.fl_str_mv ANDRADE, Leanjoelson Souza
contributor_str_mv SOARES NETO, Carlos de Salles
SOARES NETO, Carlos de Salles
OBREGON, Rosane de Fátima Antunes
ZANDOMENEGHI, Ana Lucia Alexandre de Oliveira
GUEDES, Álan Livio Vasconcelos
dc.subject.por.fl_str_mv Design de interação; Percurso cognitivo; Sistema de recomendação
topic Design de interação; Percurso cognitivo; Sistema de recomendação
Interaction design; Cognitive Walkthrough; Recommender Systems
Engenharia de Software.
dc.subject.eng.fl_str_mv Interaction design; Cognitive Walkthrough; Recommender Systems
dc.subject.cnpq.fl_str_mv Engenharia de Software.
description Recommender Systems are software tools that provide suggestions for items that may be useful to the user. These systems create a profile for storing usage data, which is used to indicate new products. Recommender Systems are present in virtual stores, streaming services, travel websites, among others. This dissertation aims to investigate and present interaction patterns for recommender systems. To achieve this goal the study was divided into three stages. In the first phase, a systematic review was carried out to identify research related to interaction elements of the recommender systems. Then, thirteen digital platforms were selected that adopt recommender systems and the Cognitive Walkthrough was carried out to map the interaction elements. With the collected data it was possible to elaborate interaction patterns that could help designers and developers in future projects of recommender systems.
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-08-09T14:08:25Z
dc.date.issued.fl_str_mv 2018-05-30
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv ANDRADE, Leanjoelson Souza. Padrões de design de interação para Sistemas de Recomendação.. 2018. 88 folhas. Dissertação(Programa de Pós-Ggraduação em Design/CCET) - Universidade Federal do Maranhão, São Luis.
dc.identifier.uri.fl_str_mv https://tedebc.ufma.br/jspui/handle/tede/tede/2333
identifier_str_mv ANDRADE, Leanjoelson Souza. Padrões de design de interação para Sistemas de Recomendação.. 2018. 88 folhas. Dissertação(Programa de Pós-Ggraduação em Design/CCET) - Universidade Federal do Maranhão, São Luis.
url https://tedebc.ufma.br/jspui/handle/tede/tede/2333
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Maranhão
dc.publisher.program.fl_str_mv PROGRAMA DE PÓS-GRADUAÇÃO EM DESIGN/CCET
dc.publisher.initials.fl_str_mv UFMA
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv DEPARTAMENTO DE INFORMÁTICA/CCET
publisher.none.fl_str_mv Universidade Federal do Maranhão
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFMA
instname:Universidade Federal do Maranhão (UFMA)
instacron:UFMA
instname_str Universidade Federal do Maranhão (UFMA)
instacron_str UFMA
institution UFMA
reponame_str Biblioteca Digital de Teses e Dissertações da UFMA
collection Biblioteca Digital de Teses e Dissertações da UFMA
bitstream.url.fl_str_mv http://tedebc.ufma.br:8080/bitstream/tede/2333/2/Leanjoelson+Souza.pdf
http://tedebc.ufma.br:8080/bitstream/tede/2333/1/license.txt
bitstream.checksum.fl_str_mv d70354b5a3aa859afad391901f876392
97eeade1fce43278e63fe063657f8083
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da UFMA - Universidade Federal do Maranhão (UFMA)
repository.mail.fl_str_mv repositorio@ufma.br||repositorio@ufma.br
_version_ 1800303795312263168