A survey on group recommender systems as an innovative tool in the tourism area

Detalhes bibliográficos
Autor(a) principal: Yilena Pérez-Almaguer
Data de Publicação: 2021
Outros Autores: Neober Martín-Dueñas, Edianny Carballo-Cruz, Raciel Yera
Tipo de documento: preprint
Idioma: eng
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1677
Resumo: Recommender systems are tools focused on helping users to get the information that best fits their preferences and needs in a search space overloaded with possible alternatives. In addition, group recommender systems are centered on suggesting certain kind of items that tends to be consumed in groups. The current research work is focused on performing an analysis of the use of group recommender systems as an innovative tool in the tourism area, which is one of the most relevant application areas in recommender systems. Specifically, it is performed a study of the most recent research works in this area, doing a comparison among them according to kind of study, kind of evaluation, application scenario, strengths, weaknesses, and country. This comparison leads to the projection of future research lines such as the development of new algorithms and methodologies that concludes with an extensive experimental study that assures the appropriate reuse of the proposed methods.
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spelling A survey on group recommender systems as an innovative tool in the tourism areaUna revisión de los sistemas recomendadores grupales como herramienta innovadora en el área del turismogroup recommender systemstourismsurveysistemas recomendadores grupalesturismorevisiónRecommender systems are tools focused on helping users to get the information that best fits their preferences and needs in a search space overloaded with possible alternatives. In addition, group recommender systems are centered on suggesting certain kind of items that tends to be consumed in groups. The current research work is focused on performing an analysis of the use of group recommender systems as an innovative tool in the tourism area, which is one of the most relevant application areas in recommender systems. Specifically, it is performed a study of the most recent research works in this area, doing a comparison among them according to kind of study, kind of evaluation, application scenario, strengths, weaknesses, and country. This comparison leads to the projection of future research lines such as the development of new algorithms and methodologies that concludes with an extensive experimental study that assures the appropriate reuse of the proposed methods.Los sistemas recomendadores son herramientas enfocadas en ayudar a los usuarios a obtener la información que mejor se corresponde con sus intereses y preferencias en un espacio de búsqueda sobrecargado de posibles opciones. A su vez, los sistemas de recomendación grupales se centrar en la sugerencia de determinados tipos de ítems que tienden a ser consumidos en grupos. El presente trabajo se centra en realizar un análisis de la utilización de los sistemas de recomendación grupal como herramienta innovadora en el área del turismo, la cual constituye una de las áreas de aplicación más importantes de los sistemas de recomendación. Específicamente, se lleva a cabo un estudio de los trabajos más recientes en esta línea de investigación, realizándose una comparación atendiendo a tipo de estudio, tipo de evaluación, escenario de aplicación, fortalezas, debilidades, y país en que se desarrolla el estudio. Esta comparación dio lugar a la proyección de líneas futuras entre las que se destaca el desarrollo de investigaciones de ciclo completo que incluyan el desarrollo de nuevos algoritmos y metodologías que concluyan con un extenso estudio experimental que garantice una apropiada reutilización de los métodos propuestos.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-01-14info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/167710.1590/SciELOPreprints.1677enghttps://preprints.scielo.org/index.php/scielo/article/view/1677/2677Copyright (c) 2021 Yilena Pérez-Almaguer , Neober Martín-Dueñas , Edianny Carballo-Cruz , Raciel Yerahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessYilena Pérez-Almaguer Neober Martín-Dueñas Edianny Carballo-Cruz Raciel Yerareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-01-05T20:29:09Zoai:ops.preprints.scielo.org:preprint/1677Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-01-05T20:29:09SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv A survey on group recommender systems as an innovative tool in the tourism area
Una revisión de los sistemas recomendadores grupales como herramienta innovadora en el área del turismo
title A survey on group recommender systems as an innovative tool in the tourism area
spellingShingle A survey on group recommender systems as an innovative tool in the tourism area
Yilena Pérez-Almaguer
group recommender systems
tourism
survey
sistemas recomendadores grupales
turismo
revisión
title_short A survey on group recommender systems as an innovative tool in the tourism area
title_full A survey on group recommender systems as an innovative tool in the tourism area
title_fullStr A survey on group recommender systems as an innovative tool in the tourism area
title_full_unstemmed A survey on group recommender systems as an innovative tool in the tourism area
title_sort A survey on group recommender systems as an innovative tool in the tourism area
author Yilena Pérez-Almaguer
author_facet Yilena Pérez-Almaguer
Neober Martín-Dueñas
Edianny Carballo-Cruz
Raciel Yera
author_role author
author2 Neober Martín-Dueñas
Edianny Carballo-Cruz
Raciel Yera
author2_role author
author
author
dc.contributor.author.fl_str_mv Yilena Pérez-Almaguer
Neober Martín-Dueñas
Edianny Carballo-Cruz
Raciel Yera
dc.subject.por.fl_str_mv group recommender systems
tourism
survey
sistemas recomendadores grupales
turismo
revisión
topic group recommender systems
tourism
survey
sistemas recomendadores grupales
turismo
revisión
description Recommender systems are tools focused on helping users to get the information that best fits their preferences and needs in a search space overloaded with possible alternatives. In addition, group recommender systems are centered on suggesting certain kind of items that tends to be consumed in groups. The current research work is focused on performing an analysis of the use of group recommender systems as an innovative tool in the tourism area, which is one of the most relevant application areas in recommender systems. Specifically, it is performed a study of the most recent research works in this area, doing a comparison among them according to kind of study, kind of evaluation, application scenario, strengths, weaknesses, and country. This comparison leads to the projection of future research lines such as the development of new algorithms and methodologies that concludes with an extensive experimental study that assures the appropriate reuse of the proposed methods.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1677
10.1590/SciELOPreprints.1677
url https://preprints.scielo.org/index.php/scielo/preprint/view/1677
identifier_str_mv 10.1590/SciELOPreprints.1677
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1677/2677
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
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institution SCI
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repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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