Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction

Detalhes bibliográficos
Autor(a) principal: Gambetti, Alessandro
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/143098
Resumo: In this paper, we discover signals from user-generated contents about post-purchase customer experience on the Yelp platform for predicting restaurant price level. We combine business, textual and visual signals extracted from a large-scale dataset with reviews and photos, by per-forming topic modeling to identify thematic content related to customer perceived experience, as well as employing an aesthetics assessment model to evaluate visual characteristics. Our results show that social media signals from reviews and photos may significantly improve the model’s predictive power and help explain the differences in customer perceived value between budget restaurants and fine-dining restaurants.
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spelling Cheap eats or fine diner? Discovering social media signals for restaurant price level predictionSocial mediaUnstructured dataTopic modelingFood aestheticsDomínio/Área Científica::Ciências Sociais::Economia e GestãoIn this paper, we discover signals from user-generated contents about post-purchase customer experience on the Yelp platform for predicting restaurant price level. We combine business, textual and visual signals extracted from a large-scale dataset with reviews and photos, by per-forming topic modeling to identify thematic content related to customer perceived experience, as well as employing an aesthetics assessment model to evaluate visual characteristics. Our results show that social media signals from reviews and photos may significantly improve the model’s predictive power and help explain the differences in customer perceived value between budget restaurants and fine-dining restaurants.Han, QiweiRUNGambetti, Alessandro2021-01-122021-01-122025-01-12T00:00:00Z2021-01-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/143098TID:202792994enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:21:11Zoai:run.unl.pt:10362/143098Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:42.339079Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
title Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
spellingShingle Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
Gambetti, Alessandro
Social media
Unstructured data
Topic modeling
Food aesthetics
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
title_full Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
title_fullStr Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
title_full_unstemmed Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
title_sort Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
author Gambetti, Alessandro
author_facet Gambetti, Alessandro
author_role author
dc.contributor.none.fl_str_mv Han, Qiwei
RUN
dc.contributor.author.fl_str_mv Gambetti, Alessandro
dc.subject.por.fl_str_mv Social media
Unstructured data
Topic modeling
Food aesthetics
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Social media
Unstructured data
Topic modeling
Food aesthetics
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description In this paper, we discover signals from user-generated contents about post-purchase customer experience on the Yelp platform for predicting restaurant price level. We combine business, textual and visual signals extracted from a large-scale dataset with reviews and photos, by per-forming topic modeling to identify thematic content related to customer perceived experience, as well as employing an aesthetics assessment model to evaluate visual characteristics. Our results show that social media signals from reviews and photos may significantly improve the model’s predictive power and help explain the differences in customer perceived value between budget restaurants and fine-dining restaurants.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-12
2021-01-12
2021-01-12T00:00:00Z
2025-01-12T00:00:00Z
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.uri.fl_str_mv http://hdl.handle.net/10362/143098
TID:202792994
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identifier_str_mv TID:202792994
dc.language.iso.fl_str_mv eng
language eng
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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