Statistical analysis of Nomao customer votes for spots of France

Autores
Pálovics, Róbert; Daróczy, Bálint; Benczúr, András; Pap, Julia; Ermann, Leonardo; Phan, Samuel; Chepelianskii, Alexei D.; Shepelyansky, Dima L.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We investigate the statistical properties of votes of customers for spots of France collected by the startup company Nomao. The frequencies of votes per spot and per customer are characterized by a power law distribution which remains stable on a time scale of a decade when the number of votes is varied by almost two orders of magnitude. Using the computer science methods we explore the spectrum and the eigenvalues of a matrix containing user ratings to geolocalized items. Eigenvalues nicely map to large towns and regions but show certain level of instability as we modify the interpretation of the underlying matrix. We evaluate imputation strategies that provide improved prediction performance by reaching geographically smooth eigenvectors. We point on possible links between distribution of votes and the phenomenon of self-organized criticality.
Fil: Pálovics, Róbert. Hungarian Academy of Sciences; Hungría. Technical University Budapest; Hungría
Fil: Daróczy, Bálint. Hungarian Academy of Sciences; Hungría. Technical University Budapest; Hungría
Fil: Benczúr, András. Hungarian Academy of Sciences; Hungría. Eötvös University Budapest; Hungría
Fil: Pap, Julia. Hungarian Academy of Sciences; Hungría
Fil: Ermann, Leonardo. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Phan, Samuel. Nomao; Francia
Fil: Chepelianskii, Alexei D.. Université Paris Sud; Francia
Fil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; Francia
Materia
Complex Networks
Recommendation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/41783
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/41783
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network_name_str CONICET Digital (CONICET)
spelling Statistical analysis of Nomao customer votes for spots of FrancePálovics, RóbertDaróczy, BálintBenczúr, AndrásPap, JuliaErmann, LeonardoPhan, SamuelChepelianskii, Alexei D.Shepelyansky, Dima L.Complex NetworksRecommendationhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1We investigate the statistical properties of votes of customers for spots of France collected by the startup company Nomao. The frequencies of votes per spot and per customer are characterized by a power law distribution which remains stable on a time scale of a decade when the number of votes is varied by almost two orders of magnitude. Using the computer science methods we explore the spectrum and the eigenvalues of a matrix containing user ratings to geolocalized items. Eigenvalues nicely map to large towns and regions but show certain level of instability as we modify the interpretation of the underlying matrix. We evaluate imputation strategies that provide improved prediction performance by reaching geographically smooth eigenvectors. We point on possible links between distribution of votes and the phenomenon of self-organized criticality.Fil: Pálovics, Róbert. Hungarian Academy of Sciences; Hungría. Technical University Budapest; HungríaFil: Daróczy, Bálint. Hungarian Academy of Sciences; Hungría. Technical University Budapest; HungríaFil: Benczúr, András. Hungarian Academy of Sciences; Hungría. Eötvös University Budapest; HungríaFil: Pap, Julia. Hungarian Academy of Sciences; HungríaFil: Ermann, Leonardo. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Phan, Samuel. Nomao; FranciaFil: Chepelianskii, Alexei D.. Université Paris Sud; FranciaFil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; FranciaSpringer2015-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/41783Pálovics, Róbert; Daróczy, Bálint; Benczúr, András; Pap, Julia; Ermann, Leonardo; et al.; Statistical analysis of Nomao customer votes for spots of France; Springer; European Physical Journal B - Condensed Matter; 88; 8-2015; 194-2041434-60281434-6036CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2015-60357-1info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2015-60357-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:23:06Zoai:ri.conicet.gov.ar:11336/41783instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:23:07.031CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Statistical analysis of Nomao customer votes for spots of France
title Statistical analysis of Nomao customer votes for spots of France
spellingShingle Statistical analysis of Nomao customer votes for spots of France
Pálovics, Róbert
Complex Networks
Recommendation
title_short Statistical analysis of Nomao customer votes for spots of France
title_full Statistical analysis of Nomao customer votes for spots of France
title_fullStr Statistical analysis of Nomao customer votes for spots of France
title_full_unstemmed Statistical analysis of Nomao customer votes for spots of France
title_sort Statistical analysis of Nomao customer votes for spots of France
dc.creator.none.fl_str_mv Pálovics, Róbert
Daróczy, Bálint
Benczúr, András
Pap, Julia
Ermann, Leonardo
Phan, Samuel
Chepelianskii, Alexei D.
Shepelyansky, Dima L.
author Pálovics, Róbert
author_facet Pálovics, Róbert
Daróczy, Bálint
Benczúr, András
Pap, Julia
Ermann, Leonardo
Phan, Samuel
Chepelianskii, Alexei D.
Shepelyansky, Dima L.
author_role author
author2 Daróczy, Bálint
Benczúr, András
Pap, Julia
Ermann, Leonardo
Phan, Samuel
Chepelianskii, Alexei D.
Shepelyansky, Dima L.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Complex Networks
Recommendation
topic Complex Networks
Recommendation
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We investigate the statistical properties of votes of customers for spots of France collected by the startup company Nomao. The frequencies of votes per spot and per customer are characterized by a power law distribution which remains stable on a time scale of a decade when the number of votes is varied by almost two orders of magnitude. Using the computer science methods we explore the spectrum and the eigenvalues of a matrix containing user ratings to geolocalized items. Eigenvalues nicely map to large towns and regions but show certain level of instability as we modify the interpretation of the underlying matrix. We evaluate imputation strategies that provide improved prediction performance by reaching geographically smooth eigenvectors. We point on possible links between distribution of votes and the phenomenon of self-organized criticality.
Fil: Pálovics, Róbert. Hungarian Academy of Sciences; Hungría. Technical University Budapest; Hungría
Fil: Daróczy, Bálint. Hungarian Academy of Sciences; Hungría. Technical University Budapest; Hungría
Fil: Benczúr, András. Hungarian Academy of Sciences; Hungría. Eötvös University Budapest; Hungría
Fil: Pap, Julia. Hungarian Academy of Sciences; Hungría
Fil: Ermann, Leonardo. Comisión Nacional de Energía Atómica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Phan, Samuel. Nomao; Francia
Fil: Chepelianskii, Alexei D.. Université Paris Sud; Francia
Fil: Shepelyansky, Dima L.. Centre National de la Recherche Scientifique; Francia
description We investigate the statistical properties of votes of customers for spots of France collected by the startup company Nomao. The frequencies of votes per spot and per customer are characterized by a power law distribution which remains stable on a time scale of a decade when the number of votes is varied by almost two orders of magnitude. Using the computer science methods we explore the spectrum and the eigenvalues of a matrix containing user ratings to geolocalized items. Eigenvalues nicely map to large towns and regions but show certain level of instability as we modify the interpretation of the underlying matrix. We evaluate imputation strategies that provide improved prediction performance by reaching geographically smooth eigenvectors. We point on possible links between distribution of votes and the phenomenon of self-organized criticality.
publishDate 2015
dc.date.none.fl_str_mv 2015-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/41783
Pálovics, Róbert; Daróczy, Bálint; Benczúr, András; Pap, Julia; Ermann, Leonardo; et al.; Statistical analysis of Nomao customer votes for spots of France; Springer; European Physical Journal B - Condensed Matter; 88; 8-2015; 194-204
1434-6028
1434-6036
CONICET Digital
CONICET
url http://hdl.handle.net/11336/41783
identifier_str_mv Pálovics, Róbert; Daróczy, Bálint; Benczúr, András; Pap, Julia; Ermann, Leonardo; et al.; Statistical analysis of Nomao customer votes for spots of France; Springer; European Physical Journal B - Condensed Matter; 88; 8-2015; 194-204
1434-6028
1434-6036
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2015-60357-1
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2015-60357-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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