Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study

Bibliographic Details
Main Author: Alonso, Hugo
Publication Date: 2022
Other Authors: Candeias, Teresa
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10773/35315
Summary: The wine industry is an important business sector, generating billions in annual revenue. In the last year, there were several lockdowns due to the COVID-19 pandemic and wine consumption at home has increased. This paper considers the problem of predicting how much a consumer is willing to pay for a bottle of wine to drink at home, in a regular occasion. As far as we know, this is the first study on the subject. The problem is treated as a classification task and several prediction models, based on artificial neural networks, support vector machines and decisions trees, are proposed and compared.
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spelling Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary studyWineClassificationArtificial neural networksSupport vector machinesDecision treesThe wine industry is an important business sector, generating billions in annual revenue. In the last year, there were several lockdowns due to the COVID-19 pandemic and wine consumption at home has increased. This paper considers the problem of predicting how much a consumer is willing to pay for a bottle of wine to drink at home, in a regular occasion. As far as we know, this is the first study on the subject. The problem is treated as a classification task and several prediction models, based on artificial neural networks, support vector machines and decisions trees, are proposed and compared.Elsevier2022-11-28T10:04:53Z2022-01-01T00:00:00Z2022conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10773/35315eng1877-050910.1016/j.procs.2022.08.101Alonso, HugoCandeias, Teresainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:40:11Zoai:ria.ua.pt:10773/35315Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:16:27.659769Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
title Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
spellingShingle Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
Alonso, Hugo
Wine
Classification
Artificial neural networks
Support vector machines
Decision trees
title_short Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
title_full Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
title_fullStr Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
title_full_unstemmed Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
title_sort Predicting how much a consumer is willing to pay for a bottle of wine: a preliminary study
author Alonso, Hugo
author_facet Alonso, Hugo
Candeias, Teresa
author_role author
author2 Candeias, Teresa
author2_role author
dc.contributor.author.fl_str_mv Alonso, Hugo
Candeias, Teresa
dc.subject.por.fl_str_mv Wine
Classification
Artificial neural networks
Support vector machines
Decision trees
topic Wine
Classification
Artificial neural networks
Support vector machines
Decision trees
description The wine industry is an important business sector, generating billions in annual revenue. In the last year, there were several lockdowns due to the COVID-19 pandemic and wine consumption at home has increased. This paper considers the problem of predicting how much a consumer is willing to pay for a bottle of wine to drink at home, in a regular occasion. As far as we know, this is the first study on the subject. The problem is treated as a classification task and several prediction models, based on artificial neural networks, support vector machines and decisions trees, are proposed and compared.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-28T10:04:53Z
2022-01-01T00:00:00Z
2022
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/35315
url http://hdl.handle.net/10773/35315
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1877-0509
10.1016/j.procs.2022.08.101
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 Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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