Publicação
Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction
| 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. |
|---|---|
| Autores principais: | Gambetti, Alessandro |
| Assunto: | Social media Unstructured data Topic modeling Food aesthetics |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868414504450129920 |
|---|---|
| author | Gambetti, Alessandro |
| author_facet | Gambetti, Alessandro |
| author_role | author |
| contributor_name_str_mv | Han, Qiwei RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Gambetti, Alessandro\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Han, Qiwei RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Gambetti, Alessandro |
| datacite.date.Accepted.fl_str_mv | 2021-01-12T00:00:00Z |
| datacite.date.available.fl_str_mv | 2025-01-12T01:31:07Z |
| datacite.date.embargoed.fl_str_mv | 2025-01-12T01:31:07Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Social media Unstructured data Topic modeling Food aesthetics |
| datacite.titles.title.fl_str_mv | Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction |
| dc.contributor.none.fl_str_mv | Han, Qiwei RUN |
| dc.creator.none.fl_str_mv | Gambetti, Alessandro |
| dc.date.Accepted.fl_str_mv | 2021-01-12T00:00:00Z |
| dc.date.available.fl_str_mv | 2025-01-12T01:31:07Z |
| dc.date.embargoed.fl_str_mv | 2025-01-12T01:31:07Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/143098 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Social media Unstructured data Topic modeling Food aesthetics |
| dc.title.fl_str_mv | Cheap eats or fine diner? Discovering social media signals for restaurant price level prediction |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/fc49f96c-bce4-4618-bd78-56e53a2326a0/download |
| funding.funder.alternateName_str_mv | FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID |
| id | run_b3e539ffacbd4e3a6ec6d56cc90830c8 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/143098 |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/143098 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Gambetti, Alessandro |
| publishDate | 2021 |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engpt_PTIn 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.application/pdfpt_PTCheap eats or fine diner? Discovering social media signals for restaurant price level predictionGambetti, AlessandroHan, QiweiHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2027929942025-01-12T01:31:07Z2021-01-122021-01-122021-01-12T00:00:00ZHandlehttp://hdl.handle.net/10362/143098http://purl.org/coar/access_right/c_abf2open accessSocial mediaUnstructured dataTopic modelingFood aesthetics2046766 bytesFundação para a Ciência e a TecnologiaNova School of Business and Economics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/fc49f96c-bce4-4618-bd78-56e53a2326a0/download |
| 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 |
| status | SINGLETON |
| subject.fl_str_mv | Social media Unstructured data Topic modeling Food aesthetics |
| title | 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_short | 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 |
| topic | Social media Unstructured data Topic modeling Food aesthetics |
| topic_facet | Social media Unstructured data Topic modeling Food aesthetics |
| url | http://hdl.handle.net/10362/143098 |
| visible | 1 |