Articles de journaux |
David Dupuis; Cédric du Mouza; Nicolas Travers; Gaël Chareyron Real-Time Influence Maximization in a RTB Setting Article de journal Data Science and Engineering, 5 (3), p. 224-239, 2020, ISBN: 2364-1185. Liens | BibTeX @article{dupuis:hal-02970479,
title = {Real-Time Influence Maximization in a RTB Setting},
author = {David Dupuis and Cédric du Mouza and Nicolas Travers and Gaël Chareyron},
editor = {Springer},
url = {https://hal.archives-ouvertes.fr/hal-02970479},
doi = {10.1007/s41019-020-00132-2},
isbn = {2364-1185},
year = {2020},
date = {2020-06-22},
journal = {Data Science and Engineering},
volume = {5},
number = {3},
pages = {224-239},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gaël Chareyron Attendre le législateur ou évoluer, le dilemme des hôteliers Article de journal Le monde des grandes écoles, 2017. BibTeX @article{Chareyron2017,
title = {Attendre le législateur ou évoluer, le dilemme des hôteliers },
author = {Gaël Chareyron},
year = {2017},
date = {2017-10-18},
journal = {Le monde des grandes écoles},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gaël Chareyron; Sébastien Jacquot Airbnb ou la vie rêvée des autres Article de journal Tha conversation, 2017. BibTeX @article{Charey2017,
title = {Airbnb ou la vie rêvée des autres },
author = {Gaël Chareyron and Sébastien Jacquot},
year = {2017},
date = {2017-09-24},
journal = {Tha conversation},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Jérôme Da Rugna; Gaël Chareyron Big data, big money : qui profite de l’explosion des données ? Article de journal The conversation., 2017. BibTeX @article{darucha2017,
title = {Big data, big money : qui profite de l’explosion des données ? },
author = {Jérôme Da Rugna and Gaël Chareyron},
year = {2017},
date = {2017-06-14},
journal = {The conversation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gaël Chareyron; Jérôme Da Rugna La valeur de vos données vous appartient-elle ? Article de journal Le monde des grandes écoles., 2017. BibTeX @article{ChaDaRUgna2017,
title = {La valeur de vos données vous appartient-elle ? },
author = {Gaël Chareyron and Jérôme Da Rugna},
year = {2017},
date = {2017-03-15},
journal = {Le monde des grandes écoles.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gaël Chareyron; Bérengère Branchet; Jérôme Da-Rugna Foules voyageuses et traces numériques : Le big data au service du tourisme Article de journal l'Expansion, p. p.152-156, 2015. Résumé | Liens | BibTeX @article{ChaExp2015,
title = {Foules voyageuses et traces numériques : Le big data au service du tourisme},
author = {Gaël Chareyron and Bérengère Branchet and Jérôme Da-Rugna},
url = {https://www.esilv.fr/donnees-numeriques-et-flux-touristiques-le-big-data-au-service-au-service-du-tourisme/
},
year = {2015},
date = {2015-12-01},
journal = {l'Expansion},
pages = {p.152-156},
abstract = {En analysant les grands volumes de données laissées par les touristes sur le Web, on peut suivre, comprendre et même prédire leur comportement de manière très fine Ce gisement d'informations constamment renouvelé est un atout stratégique pour les professionnels du secteur.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
En analysant les grands volumes de données laissées par les touristes sur le Web, on peut suivre, comprendre et même prédire leur comportement de manière très fine Ce gisement d'informations constamment renouvelé est un atout stratégique pour les professionnels du secteur. |
Gaël Chareyron; Saskia Cousin; Jérôme Da-Rugna; Sébastien Jacquot Patrolling TripAdvisor: Re-purposing large data-sets in Tourism research. Article de journal EspacesTemps.net, 2015, (English version for Étudier TripAdvisor. Ou comment Trip-patouiller les cartes de nos vacances.). Résumé | Liens | BibTeX @article{Chareyron2015,
title = {Patrolling TripAdvisor: Re-purposing large data-sets in Tourism research.},
author = {Gaël Chareyron and Saskia Cousin and Jérôme Da-Rugna and Sébastien Jacquot},
editor = {EspacesTemps.net},
url = {http://www.espacestemps.net/en/articles/etudier-tripadvisor/},
year = {2015},
date = {2015-09-01},
journal = {EspacesTemps.net},
abstract = {From the beaches of Costa Rica to the Beauval Zoo or the Royal Palaces of Abomey, making and breaking the e-reputation of restaurants, hotels and tourist attractions, TripAdvisor has become an essential tool for millions of tourists. With 125 million reviews/comments and 57 million members, TripAdvisor publicises itself as « the world’s largest travel site » and […] },
note = {English version for Étudier TripAdvisor. Ou comment Trip-patouiller les cartes de nos vacances.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
From the beaches of Costa Rica to the Beauval Zoo or the Royal Palaces of Abomey, making and breaking the e-reputation of restaurants, hotels and tourist attractions, TripAdvisor has become an essential tool for millions of tourists. With 125 million reviews/comments and 57 million members, TripAdvisor publicises itself as « the world’s largest travel site » and […] |
Gaël Chareyron; Jérôme Da-Rugna; Saskia Cousin; Sébastien Jacquot Etudier TripAdvisor. Ou comment Trip-patouiller les cartes de nos vacances. Article de journal Espacetemps.net, 2014, (http://www.espacestemps.net/articles/etudier-tripadvisor-ou-comment-trip-patouiller-les-cartes-de-nos-vacances/). Résumé | Liens | BibTeX @article{CDCJ14,
title = {Etudier TripAdvisor. Ou comment Trip-patouiller les cartes de nos vacances.},
author = { Gaël Chareyron and Jérôme Da-Rugna and Saskia Cousin and Sébastien Jacquot},
url = {http://labs.esilv.fr/publications/public/2014/CDCJ14},
year = {2014},
date = {2014-01-01},
journal = {Espacetemps.net},
abstract = {Pour prolonger un peu les vacances, voici en édito quelques cartes issues de TripAdvisor, le site de notation bien connu des internautes. TripAdvisor est devenu un outil incontournable pour des millions de touristes, faisant et défaisant l’e-reputation des restaurants, des hôtels, et de ce que l’entreprise nomme les « attractions » — des plages du Costa Rica au Zoo de Beauval, en passant par les palais royaux d’Abomey. Forts de 125 millions d’avis et 57 millions de membres, se présentant comme le « plus grand site de voyage au monde », TripAdvisor est de plus en plus analysé par les chercheurs, même si, le plus souvent, il s’agit de mentionner le classement TripAdvisor du site étudié ou de proposer des modèles marketing permettant d’analyser et d’améliorer son e-reputation. Les travaux les plus intéressants portent sur la question des jugements amateurs et la transformation de l’expertise. Mais rares sont les enquêtes qui se penchent sur les métadonnées associées aux commentaires, ou qui considèrent le site comme un objet en soi. Pour s’atteler à cette tâche, il convient d’abord de distinguer deux types de données très différentes. D’une part, ce qui relève de la communication et du capital de l’entreprise, visible dans sa manière de présenter les avis des individus et les publicités de ses partenaires, mais aussi, de manière plus invisible, dans l’algorithme que le site utilise. D’autre part, les commentaires des internautes, qu’il est nécessaire d’inscrire dans leurs différents contextes — origines sociales, nationales, genre, inscription dans des logiques de mimétisme ou de distinction, etc. C’est l’enjeu d’un programme de recherche sur les traces numériques (digital footprints), en cours. Ici, l’entrée se veut plus modeste et plus ludique : à partir des données disponibles sur le site, nous proposons de trip-patouiller quelques données et de les restituer sous la forme de cartes, révélant des informations alternatives à celles de l’entreprise de communication Tripadvisor.},
note = {http://www.espacestemps.net/articles/etudier-tripadvisor-ou-comment-trip-patouiller-les-cartes-de-nos-vacances/},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pour prolonger un peu les vacances, voici en édito quelques cartes issues de TripAdvisor, le site de notation bien connu des internautes. TripAdvisor est devenu un outil incontournable pour des millions de touristes, faisant et défaisant l’e-reputation des restaurants, des hôtels, et de ce que l’entreprise nomme les « attractions » — des plages du Costa Rica au Zoo de Beauval, en passant par les palais royaux d’Abomey. Forts de 125 millions d’avis et 57 millions de membres, se présentant comme le « plus grand site de voyage au monde », TripAdvisor est de plus en plus analysé par les chercheurs, même si, le plus souvent, il s’agit de mentionner le classement TripAdvisor du site étudié ou de proposer des modèles marketing permettant d’analyser et d’améliorer son e-reputation. Les travaux les plus intéressants portent sur la question des jugements amateurs et la transformation de l’expertise. Mais rares sont les enquêtes qui se penchent sur les métadonnées associées aux commentaires, ou qui considèrent le site comme un objet en soi. Pour s’atteler à cette tâche, il convient d’abord de distinguer deux types de données très différentes. D’une part, ce qui relève de la communication et du capital de l’entreprise, visible dans sa manière de présenter les avis des individus et les publicités de ses partenaires, mais aussi, de manière plus invisible, dans l’algorithme que le site utilise. D’autre part, les commentaires des internautes, qu’il est nécessaire d’inscrire dans leurs différents contextes — origines sociales, nationales, genre, inscription dans des logiques de mimétisme ou de distinction, etc. C’est l’enjeu d’un programme de recherche sur les traces numériques (digital footprints), en cours. Ici, l’entrée se veut plus modeste et plus ludique : à partir des données disponibles sur le site, nous proposons de trip-patouiller quelques données et de les restituer sous la forme de cartes, révélant des informations alternatives à celles de l’entreprise de communication Tripadvisor. |
Gaël Chareyron; Saskia Cousin; Jérôme Da-Rugna; Daniel Gabay; Sébastien Jacquot La métropole du data-mining: ce que l exploration du web nous apprend des pratiques et imaginaires métropolitains Article de journal Les cahiers de la métropole, 2014, (Hors-série les imaginaires de la métropole créative). Liens | BibTeX @article{CCDGJ14,
title = {La métropole du data-mining: ce que l exploration du web nous apprend des pratiques et imaginaires métropolitains},
author = { Gaël Chareyron and Saskia Cousin and Jérôme Da-Rugna and Daniel Gabay and Sébastien Jacquot},
url = {http://labs.esilv.fr/publications/public/2014/CCDGJ14},
year = {2014},
date = {2014-01-01},
journal = {Les cahiers de la métropole},
note = {Hors-série les imaginaires de la métropole créative},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Berengère Branchet; Gaël Chareyron; Saskia Cousin; Jérôme Da-Rugna; Maxime Michaud; Sairi Piñeros Observer les pratiques touristiques en croisant traces numériques et observation ethnographique: le projet de recherche Imagitour Article de journal Espaces, (316), p. 105-113, 2014. Liens | BibTeX @article{BCCDMP14,
title = {Observer les pratiques touristiques en croisant traces numériques et observation ethnographique: le projet de recherche Imagitour},
author = { Berengère Branchet and Gaël Chareyron and Saskia Cousin and Jérôme Da-Rugna and Maxime Michaud and Sairi Piñeros},
url = {http://labs.esilv.fr/publications/public/2014/BCCDMP14},
year = {2014},
date = {2014-01-01},
journal = {Espaces},
number = {316},
pages = {105-113},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gaël Chareyron; Jérôme Da-Rugna; Sébastien Jacquot Les lieux touristiques de Valparaiso à partir des photographies postées sur les réseaux sociaux Article de journal Via@ - Revue internationale interdisciplinaire de tourisme, 2013, (http://www.viatourismreview.net/Carte2.php). Liens | BibTeX @article{CDJ13,
title = {Les lieux touristiques de Valparaiso à partir des photographies postées sur les réseaux sociaux},
author = { Gaël Chareyron and Jérôme Da-Rugna and Sébastien Jacquot},
url = {http://der3i.labs.esilv.fr/publications/public/2013/CDJ13},
year = {2013},
date = {2013-01-01},
journal = {Via@ - Revue internationale interdisciplinaire de tourisme},
note = {http://www.viatourismreview.net/Carte2.php},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sébastien Tisné; Yann Serrand; Liên Bach; Rachid Ben Ameur; Hervé Balasse; David Bouchez; Philippe Guerche; Gaël Chareyron; Jérôme Da-Rugna; Christine Camilleri; Olivier Loudet Phenoscope: an automated large-scale phenotyping platform offering high spatial homogeneity Article de journal The Plant Journal, 74 (3), p. 534-544, 2013, (Edited By: Christoph Benning Impact Factor: 6.582 ISI Journal Citation Reports © Ranking: 2012: 7/195 (Plant Sciences)). Liens | BibTeX @article{TSBBBBGCDCL13,
title = {Phenoscope: an automated large-scale phenotyping platform offering high spatial homogeneity},
author = { Sébastien Tisné and Yann Serrand and Liên Bach and Rachid Ben Ameur and Hervé Balasse and David Bouchez and Philippe Guerche and Gaël Chareyron and Jérôme Da-Rugna and Christine Camilleri and Olivier Loudet},
url = {http://der3i.labs.esilv.fr/publications/public/2013/TSBBBBGCDCL13},
year = {2013},
date = {2013-01-01},
journal = {The Plant Journal},
volume = {74},
number = {3},
pages = {534-544},
note = {Edited By: Christoph Benning Impact Factor: 6.582 ISI Journal Citation Reports © Ranking: 2012: 7/195 (Plant Sciences)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gaël Chareyron; Dinu Coltuc; Alain Trémeau Watermarking and authentication of color images based on segmentation of the xyy color space Article de journal Journal of Imaging Science and Technology, 50 (5), p. 411–423, 2006. Liens | BibTeX @article{CCT06,
title = {Watermarking and authentication of color images based on segmentation of the xyy color space},
author = { Gaël Chareyron and Dinu Coltuc and Alain Trémeau},
url = {http://der3i.labs.esilv.fr/publications/public/2006/CCT06},
year = {2006},
date = {2006-01-01},
journal = {Journal of Imaging Science and Technology},
volume = {50},
number = {5},
pages = {411--423},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Conférences |
Chareyron, G.; Jacquot, S Tourism and World Heritage according to touristic social network Conférence Tourism and information technology in the Unesco world heritage sites, Unesco, Paris, 6 décembre, 2017. BibTeX @conference{Charey2017b,
title = {Tourism and World Heritage according to touristic social network},
author = {Chareyron, G. and Jacquot, S},
year = {2017},
date = {2017-12-30},
booktitle = {Tourism and information technology in the Unesco world heritage sites, Unesco, Paris, 6 décembre},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Hertzog, A.; Jacquot, S.; Chareyron, G. Histoires de prêts. Mémoires et enjeux des prêts dans les musées Conférence Aspects géopolitiques et diplomatiques des prêts, colloque international organisé avec la participation de l’Institut d’histoire moderne et contemporaine (IHMC-CNRS-ENS), Paris, 28-29 septembre, 2017. BibTeX @conference{Charey2017c,
title = { Histoires de prêts. Mémoires et enjeux des prêts dans les musées },
author = {Hertzog, A. and Jacquot, S. and Chareyron, G. },
year = {2017},
date = {2017-09-24},
booktitle = {Aspects géopolitiques et diplomatiques des prêts, colloque international organisé avec la participation de l’Institut d’histoire moderne et contemporaine (IHMC-CNRS-ENS), Paris, 28-29 septembre},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot; Jeanne Richon Commentaire du recensement de l’Insee, cartographie des locations saisonnières dans l’arrondissement, évolution du phénomène à Paris. Conférence Les locations saisonnières dans le 4e arrondissement : Une désertification invisible ?, Paris, 18 mars, 2017. BibTeX @conference{CharAirbnb2017,
title = {Commentaire du recensement de l’Insee, cartographie des locations saisonnières dans l’arrondissement, évolution du phénomène à Paris. },
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot and Jeanne Richon},
editor = {Colloque organisé par l'association "Aux 4 coins du 4"
Mairie du 4eme - Paris},
year = {2017},
date = {2017-03-18},
booktitle = {Les locations saisonnières dans le 4e arrondissement : Une désertification invisible ?, Paris, 18 mars},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Anne Hertzog; Sébastien Jacquot Le Louvre dans un monde global : connexions, circulations, projections Conférence Colloque Louvre Monde. Un lieu, des territoires, 2016. Liens | BibTeX @conference{ChareyronLouvre2016,
title = {Le Louvre dans un monde global : connexions, circulations, projections},
author = {Gaël Chareyron and Anne Hertzog and Sébastien Jacquot
},
url = {http://www.paris-sorbonne.fr/IMG/pdf/programmelouvremonde251116-final2.pdf},
year = {2016},
date = {2016-12-09},
booktitle = {Colloque Louvre Monde. Un lieu, des territoires},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot Les traces numériques pour identifier les pratiques touristiques et patrimoniales en périphérie Conférence Les périphéries métropolitaines au prisme des mobilités touristiques et du patrimoine, 2016. Liens | BibTeX @conference{Chareyron2016b,
title = {Les traces numériques pour identifier les pratiques touristiques et patrimoniales en périphérie},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
url = {http://www.hesam.eu/blog/2015/06/19/les-peripheries-metropolitaines-au-prisme-des-mobilites-touristiques-et-du-patrimoine/},
year = {2016},
date = {2016-05-23},
booktitle = {Les périphéries métropolitaines au prisme des mobilités touristiques et du patrimoine},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron Table ronde Sémiotique, linguistique, infocom, anthropologie, récits de voyage, littérature, informatique… A la croisée des disciplines Conférence Journée d’étude - Jean-Didier Urbain , 40 ans de voyages indisciplinés, 2016. BibTeX @conference{Chareyron2016,
title = {Table ronde Sémiotique, linguistique, infocom, anthropologie, récits de voyage, littérature, informatique… A la croisée des disciplines},
author = {Gaël Chareyron},
year = {2016},
date = {2016-05-20},
booktitle = {Journée d’étude - Jean-Didier Urbain , 40 ans de voyages indisciplinés},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot Visiter Paris, sa banlieue, ses environs, de 1820 à aujourd’hui Conférence 2016. Liens | BibTeX @conference{Chareyron2016c,
title = {Visiter Paris, sa banlieue, ses environs, de 1820 à aujourd’hui},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
editor = {Bons baisers de Paris, 300 ans de tourisme dans la capitale},
url = {https://www.youtube.com/watch?v=vvAA6iI5dUY&list=PLv6xudgmCEODWYXoZoSFP3MwBzNuPYZgf&index=2},
year = {2016},
date = {2016-02-12},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot Circulations touristiques : la quête des trace numériques. Retour sur une drôle d’enquête/requête Conférence 2015. BibTeX @conference{trip15,
title = {Circulations touristiques : la quête des trace numériques. Retour sur une drôle d’enquête/requête},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
year = {2015},
date = {2015-10-08},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Berengère Branchet; Gaël Chareyron; Sébastien Jacquot ATELIER Traces numériques touristiques : un terrain numérique ? Conférence Rencontres Internationales des Jeunes Chercheurs en Tourisme (Paris, 10 au 12 septembre 2015), 2015, (Conférence invité). BibTeX @conference{Branchet2015,
title = {ATELIER Traces numériques touristiques : un terrain numérique ?},
author = {Berengère Branchet and Gaël Chareyron and Sébastien Jacquot},
year = {2015},
date = {2015-09-11},
booktitle = {Rencontres Internationales des Jeunes Chercheurs en Tourisme (Paris, 10 au 12 septembre 2015)},
note = {Conférence invité},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Saskia Cousin Enquête, quête et requête: Big Data touristique, objet hirsute Conférence Printanières EspacesTemps.net 2015. BibTeX @conference{ESPAC2015,
title = {Enquête, quête et requête: Big Data touristique, objet hirsute},
author = {Gaël Chareyron and Saskia Cousin},
year = {2015},
date = {2015-06-16},
organization = {Printanières EspacesTemps.net},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Berengère Branchet; Gaël Chareyron; Saskia Cousin; Daniel Gabay; Sébastien Jacquot Big Data to Smart Data: digital footprints and tourism Conférence 5e Colloque international pluridisciplinaire ASTRES : Observer les touristes pour mieux comprendre les tourismes 2015. BibTeX @conference{ASTRES2015,
title = {Big Data to Smart Data: digital footprints and tourism},
author = {Berengère Branchet and Gaël Chareyron and Saskia Cousin and Daniel Gabay and Sébastien Jacquot},
year = {2015},
date = {2015-06-11},
organization = {5e Colloque international pluridisciplinaire ASTRES : Observer les touristes pour mieux comprendre les tourismes},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Sébastien Jacquot Knowledge and Tracking of the tourist practices through big data Conférence Workshop Digital technologies and Tourism, 2015. BibTeX @conference{ICE2014,
title = {Knowledge and Tracking of the tourist practices through big data},
author = {Gaël Chareyron and Sébastien Jacquot},
year = {2015},
date = {2015-05-07},
publisher = {Workshop Digital technologies and Tourism},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot Big data & Tourism Conférence TOURISM STUDIES WORKING GROUP COLLOQUIUM SERIES - UC Berkeley 2015. Résumé | Liens | BibTeX @conference{BERK2015,
title = {Big data & Tourism},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
url = {http://www.tourismstudies.org/news_archive/BigData2015.htm},
year = {2015},
date = {2015-04-17},
organization = {TOURISM STUDIES WORKING GROUP COLLOQUIUM SERIES - UC Berkeley},
abstract = {This presentation deals with the links between big data and tourism studies. For about 10 years now, drawing on their travel experiences, tourists have been using dedicated networks and social media sites to post comments, photographs and reviews, constituting vast amounts of data. So big data in tourism relies on the digital and volontary trails left by tourists on social networks such as Flickr, Panoramio, Tripadvisor, Hotel.com. Collecting automatically all these data (crawling), we develop inductive analysis based on cartographic, quantitative and text analysis research, to understand tourist circulations, communities, and ways of presenting experiences. We'll discuss the types of knowledge and issues raised by this big data, from digital and humanities studies to internal and external critical approaches.
Our presentation interconnects computing sciences, anthropology, geography.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This presentation deals with the links between big data and tourism studies. For about 10 years now, drawing on their travel experiences, tourists have been using dedicated networks and social media sites to post comments, photographs and reviews, constituting vast amounts of data. So big data in tourism relies on the digital and volontary trails left by tourists on social networks such as Flickr, Panoramio, Tripadvisor, Hotel.com. Collecting automatically all these data (crawling), we develop inductive analysis based on cartographic, quantitative and text analysis research, to understand tourist circulations, communities, and ways of presenting experiences. We'll discuss the types of knowledge and issues raised by this big data, from digital and humanities studies to internal and external critical approaches.
Our presentation interconnects computing sciences, anthropology, geography. |
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot Touristes sur les champs de bataille. Utiliser le big data pour observer les pratiques Conférence International Conference Remembering in a Globalizing World: The Play and Interplay of Tourism,Memory, and Place, 2014. Résumé | Liens | BibTeX @conference{CCJ14,
title = {Touristes sur les champs de bataille. Utiliser le big data pour observer les pratiques},
author = { Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
url = {http://labs.esilv.fr/publications/public/2014/CCJ14},
year = {2014},
date = {2014-09-11},
booktitle = {International Conference Remembering in a Globalizing World: The Play and Interplay of Tourism,Memory, and Place},
abstract = {Cette communication propose une étude des pratiques et expériences du tourisme de mémoire, via la collecte et analyse automatisée des évaluations et photos postées sur les réseaux sociaux par les touristes (Instagram, Flickr, Panoramio, Tripadvisor), constituant des traces numériques. L'étude s'appuie sur des recherches portant sur le big data et ses usages pour la connaissance touristique, à partir de la collecte, structuration et analyse automatisée des images et commentaires, mais aussi des métadonnées qui leur sont associées (profils des utilisateurs, localisations spatio-temporelles des images, etc). Plusieurs interrogations structurent cette recherche. Tout d'abord, il s'agit de préciser les pratiques spatiales associées au tourisme de mémoire, à l'échelle régionale. En prenant pour terrain d'étude le Nord de la France et la Normandie, l'analyse des métadonnées associées aux traces numériques permet d'identifier des circulations mémorielles, et notamment d'appréhender une structuration de l'espace mémoriel (centre ? périphéries, parcours types, etc), ainsi que d'identifier d'éventuelles pratiques non mémorielles associées à un circuit mémoriel. Un second temps de l'analyse est consacré à la dimension nationale du tourisme de mémoire, en croisant origine géographique des touristes (profils sur les réseaux sociaux), teneur des commentaires postés, et dimension nationale des sites mémoriels. Cette étape permet d'identifier les modalités d'un partage transnational des pratiques mémorielles. Enfin, l'analyse lexicale des commentaires permet d'appréhender les registres de la présentation par les touristes de leur expérience mémorielle, en identifiant la façon dont ils évoquent le passé et le lieu, les belligérants, et leur propre expérience. Au final, cette présentation est centrée sur l'identification de l'apport de nouvelles méthodologies à la compréhension du tourisme mémoriel, centrées sur le touriste et la façon dont il partage son expérience.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Cette communication propose une étude des pratiques et expériences du tourisme de mémoire, via la collecte et analyse automatisée des évaluations et photos postées sur les réseaux sociaux par les touristes (Instagram, Flickr, Panoramio, Tripadvisor), constituant des traces numériques. L'étude s'appuie sur des recherches portant sur le big data et ses usages pour la connaissance touristique, à partir de la collecte, structuration et analyse automatisée des images et commentaires, mais aussi des métadonnées qui leur sont associées (profils des utilisateurs, localisations spatio-temporelles des images, etc). Plusieurs interrogations structurent cette recherche. Tout d'abord, il s'agit de préciser les pratiques spatiales associées au tourisme de mémoire, à l'échelle régionale. En prenant pour terrain d'étude le Nord de la France et la Normandie, l'analyse des métadonnées associées aux traces numériques permet d'identifier des circulations mémorielles, et notamment d'appréhender une structuration de l'espace mémoriel (centre ? périphéries, parcours types, etc), ainsi que d'identifier d'éventuelles pratiques non mémorielles associées à un circuit mémoriel. Un second temps de l'analyse est consacré à la dimension nationale du tourisme de mémoire, en croisant origine géographique des touristes (profils sur les réseaux sociaux), teneur des commentaires postés, et dimension nationale des sites mémoriels. Cette étape permet d'identifier les modalités d'un partage transnational des pratiques mémorielles. Enfin, l'analyse lexicale des commentaires permet d'appréhender les registres de la présentation par les touristes de leur expérience mémorielle, en identifiant la façon dont ils évoquent le passé et le lieu, les belligérants, et leur propre expérience. Au final, cette présentation est centrée sur l'identification de l'apport de nouvelles méthodologies à la compréhension du tourisme mémoriel, centrées sur le touriste et la façon dont il partage son expérience. |
Gaël Chareyron; Jérôme Da-Rugna; Sébastien Jacquot Big data, geo data : une nouvelle approche des pratiques métropolitaines de loisirs (Grand Paris) Conférence Journée d'étude Open Data en Ile-de-France, 2014, (http://www.master-geomatique.org/news/85-journee-d-etude-open-data-en-ile-de-france). Liens | BibTeX @conference{CDJ14,
title = {Big data, geo data : une nouvelle approche des pratiques métropolitaines de loisirs (Grand Paris)},
author = { Gaël Chareyron and Jérôme Da-Rugna and Sébastien Jacquot},
url = {http://labs.esilv.fr/publications/public/2014/CDJ14},
year = {2014},
date = {2014-01-01},
booktitle = {Journée d'étude Open Data en Ile-de-France},
note = {http://www.master-geomatique.org/news/85-journee-d-etude-open-data-en-ile-de-france},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Gaël Chareyron; Sébastien Jacquot Quel tourisme de mémoire par l'analyse des big data issus des traces numériques des touristes sur les réseaux sociaux ? Conférence Sites mémoriels au Patrimoine mondial : quelle place pour le tourisme dans la définition de la valeur universelle exceptionnelle ?, 2014. Liens | BibTeX @conference{CJ14,
title = {Quel tourisme de mémoire par l'analyse des big data issus des traces numériques des touristes sur les réseaux sociaux ?},
author = { Gaël Chareyron and Sébastien Jacquot},
url = {http://labs.esilv.fr/publications/public/2014/CJ14},
year = {2014},
date = {2014-01-01},
booktitle = {Sites mémoriels au Patrimoine mondial : quelle place pour le tourisme dans la définition de la valeur universelle exceptionnelle ?},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Chapitres d'ouvrage |
Sébastien Jacquot; Gaël Chareyron Star Architecture from Below: Narratives and Images from Social Networks Chapitre d'ouvrage Springer, Cham (Ed.): About Star Architecture , p. 133-150, 2020, ISBN: 978-3-030-23925-1. Résumé | Liens | BibTeX @inbook{Jacquot2020,
title = {Star Architecture from Below: Narratives and Images from Social Networks},
author = {Sébastien Jacquot and Gaël Chareyron},
editor = {Springer, Cham},
doi = {https://doi.org/10.1007/978-3-030-23925-1_9},
isbn = {978-3-030-23925-1},
year = {2020},
date = {2020-03-17},
volume = {About Star Architecture},
pages = {133-150},
abstract = {This chapter studies star architecture through the analysis of tags and comments on social networks (TripAdvisor and Instagram). The objective is the analysis of star architectural projects from below, that is, the way visitors depict and frame star architecture and express aesthetical judgement, to characterise “star architecture” and “iconicity” from the point of view of its reception. The analysis of the comments on a selection of sites shows the importance of the architectural component in the tourist experience, not reducible to the mention of the star architect, but presenting multiple types of discourse, pluralising the reception of star architecture. The purely “star” architectural dimension, based on the notoriety of the architect, can then be distinguished from the elements referring to the visual effects of buildings or to a perception of the building in its environment, closer to the notion of iconic building.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
This chapter studies star architecture through the analysis of tags and comments on social networks (TripAdvisor and Instagram). The objective is the analysis of star architectural projects from below, that is, the way visitors depict and frame star architecture and express aesthetical judgement, to characterise “star architecture” and “iconicity” from the point of view of its reception. The analysis of the comments on a selection of sites shows the importance of the architectural component in the tourist experience, not reducible to the mention of the star architect, but presenting multiple types of discourse, pluralising the reception of star architecture. The purely “star” architectural dimension, based on the notoriety of the architect, can then be distinguished from the elements referring to the visual effects of buildings or to a perception of the building in its environment, closer to the notion of iconic building. |
Gael Chareyron; Saskia Cousin; Sébastien Jacquot Pratiques touristiques Chapitre d'ouvrage Infolio, (Ed.): En quête du dimanche, Collection Archigraphy, 2017, ISBN: 978-2-88474-760-8. Résumé | Liens | BibTeX @inbook{Chareyron2017dim,
title = {Pratiques touristiques},
author = {Gael Chareyron and Saskia Cousin and Sébastien Jacquot},
editor = {Infolio},
url = {https://www.leslibraires.fr/livre/10633441-en-quete-du-dimanche-thierry-paquot-sandra-mallet-nathalie-lemarchand-infolio},
isbn = {978-2-88474-760-8},
year = {2017},
date = {2017-01-01},
booktitle = {En quête du dimanche},
edition = {Collection Archigraphy},
abstract = {Dans la plupart des pays occidentaux, le dimanche est institué jour de repos hebdomadaire, c'est aussi le «Jour du Seigneur» pour les Chrétiens. Dans le reste du monde, d'autres jours sont réservés aux cultes et seules certaines administrations et institutions pratiquent le repos dominical. Le dimanche s'affirme comme un singulier pluriel ! Cet ouvrage collectif décrit et analyse les activités urbaines qui se déroulent le dimanche, il rend compte des évolutions juridiques en cours, des représentations collectives attachées à la rythmique hebdomadaire ponctuée par ce jour pas encore comme les autres. Avec la question du dimanche se pose celle de l'accord entre les rythmes sociaux et individuels. Comment concilier désir personnel et horaires collectifs ? Aussi ne s'agit-il pas seulement du repos, mais des rituels d'une société. En cela la quête du dimanche revêt la dimension d'une écologie temporelle. AUTEURS: Avec les contributions de Gaël Chareyron, Marianne Cohen, Saskia Cousin, Irene D'Agostino, Vincent Gaubert, Luc Gwiazdzinski, Sébastien Jacquot, Paul de Kock, Nathalie Lemarchand, Sandra Mallet, Thierry Paquot, Jean-Louis Schlegel et Marion Tillous. },
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Dans la plupart des pays occidentaux, le dimanche est institué jour de repos hebdomadaire, c'est aussi le «Jour du Seigneur» pour les Chrétiens. Dans le reste du monde, d'autres jours sont réservés aux cultes et seules certaines administrations et institutions pratiquent le repos dominical. Le dimanche s'affirme comme un singulier pluriel ! Cet ouvrage collectif décrit et analyse les activités urbaines qui se déroulent le dimanche, il rend compte des évolutions juridiques en cours, des représentations collectives attachées à la rythmique hebdomadaire ponctuée par ce jour pas encore comme les autres. Avec la question du dimanche se pose celle de l'accord entre les rythmes sociaux et individuels. Comment concilier désir personnel et horaires collectifs ? Aussi ne s'agit-il pas seulement du repos, mais des rituels d'une société. En cela la quête du dimanche revêt la dimension d'une écologie temporelle. AUTEURS: Avec les contributions de Gaël Chareyron, Marianne Cohen, Saskia Cousin, Irene D'Agostino, Vincent Gaubert, Luc Gwiazdzinski, Sébastien Jacquot, Paul de Kock, Nathalie Lemarchand, Sandra Mallet, Thierry Paquot, Jean-Louis Schlegel et Marion Tillous. |
Gaël Chareyron; Saskia Cousin; Sébastien Jacquot Les nouveaux contours du Paris Touristique Chapitre d'ouvrage bibliothèques d’histoire de la de Paris, Paris Comité Ville - (Ed.): (152-153), Paris : Paris bibliothèques : Comité d'histoire de la ville de Paris, Actes Sud, 2015, ISBN: 978-2-84331-210-6. BibTeX @inbook{Chareyronbbp2015,
title = {Les nouveaux contours du Paris Touristique},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
editor = {Paris bibliothèques - Comité d’histoire de la Ville de Paris},
isbn = {978-2-84331-210-6},
year = {2015},
date = {2015-11-13},
journal = {Catalogue de l’exposition Bons Baisers de Paris},
number = {152-153},
publisher = {Paris : Paris bibliothèques : Comité d'histoire de la ville de Paris, Actes Sud},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
|
Gaël Chareyron; Jérôme Da-Rugna; Alain Trémeau Color in image watermarking, Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications Chapitre d'ouvrage Chapitre in-press, IGI Global, 2010. Liens | BibTeX @inbook{CDT10,
title = {Color in image watermarking, Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications},
author = { Gaël Chareyron and Jérôme Da-Rugna and Alain Trémeau},
url = {http://der3i.labs.esilv.fr/publications/public/2010/CDT10},
year = {2010},
date = {2010-01-01},
publisher = {IGI Global},
chapter = {in-press},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
|
Actes |
David Dupuis; Cédric du Mouza; Nicolas Travers; Gaël Chareyron RTIM: a Real-Time Influence Maximization Strategy Inproceedings International Conference on Web Information Systems Engineering (WISE'19), Springer, 2019. Résumé | BibTeX @inproceedings{Dupuis2019,
title = {RTIM: a Real-Time Influence Maximization Strategy},
author = {David Dupuis and Cédric du Mouza and Nicolas Travers and Gaël Chareyron},
year = {2019},
date = {2019-11-26},
booktitle = {International Conference on Web Information Systems Engineering (WISE'19)},
publisher = {Springer},
abstract = {Influence Maximization (IM) is a well studied maximum coverage problem, which consists in finding in a network the top-k influ- encers who will maximize the diffusion of a piece of information. It is commonly associated with basic online advertising strategies. However, today, the exponential growth of online advertising is due to Real-Time Bidding (RTB) which allows advertising agen- cies to target specific users with specific ads on specific webpages. It requires complex ad placement decisions in real-time to face a high-speed stream of online users. In order to stay relevant, the IM problem should be updated to answer RTB needs. While most tra- ditional IM methods generate a static set of top-k influencers, they do not deal with the topic of influence maximization in a real-time bidding environment which requires dynamic influence targeting.
This paper studies this topic and proposes RTIM, the first IM al- gorithm capable of taking influence maximization decisions within a real-time bidding environment. We also analyze influence scores of users in several social networks in order to show their impact in our approach. Finally, we offer a thorough experimental process to compare static versus dynamic IM solutions wrt. influence scores.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Influence Maximization (IM) is a well studied maximum coverage problem, which consists in finding in a network the top-k influ- encers who will maximize the diffusion of a piece of information. It is commonly associated with basic online advertising strategies. However, today, the exponential growth of online advertising is due to Real-Time Bidding (RTB) which allows advertising agen- cies to target specific users with specific ads on specific webpages. It requires complex ad placement decisions in real-time to face a high-speed stream of online users. In order to stay relevant, the IM problem should be updated to answer RTB needs. While most tra- ditional IM methods generate a static set of top-k influencers, they do not deal with the topic of influence maximization in a real-time bidding environment which requires dynamic influence targeting.
This paper studies this topic and proposes RTIM, the first IM al- gorithm capable of taking influence maximization decisions within a real-time bidding environment. We also analyze influence scores of users in several social networks in order to show their impact in our approach. Finally, we offer a thorough experimental process to compare static versus dynamic IM solutions wrt. influence scores. |
Gaël Chareyron; Ugo Quelhas; Nicolas Travers Tourism Analysis on Graphs with Neo4Tourism Inproceedings International Conference on Web Information Systems Engineering (WISE'19), Hong Kong, China, 2019. Résumé | BibTeX @inproceedings{Chareyron2019b,
title = {Tourism Analysis on Graphs with Neo4Tourism},
author = {Gaël Chareyron and Ugo Quelhas and Nicolas Travers},
year = {2019},
date = {2019-11-26},
booktitle = {International Conference on Web Information Systems Engineering (WISE'19)},
address = {Hong Kong, China},
abstract = {Tourists’ behavior analysis has become a popular mean with Digital Tourism. Traditional ground studies has been extended with mas- sive data analysis to confront models. Tourism actors are faced with the need to deeply understand tourists’ circulation both quantitively and qualitatively. Thus, the challenge is to deal with data from tourist ori- ented social networks by integrating huge volumes of data. We propose in this paper the Neo4Tourism framework based on a graph data model specialized in digital tourism analysis. Our model is dedicated to tourists’ circulation and aims at simulating tourists’ behavior. In this demonstra- tion we discuss how our system 1) integrates data from TripAdvisor in a Neo4j graph database, 2) produces circulation graphs, 3) enhances graphs manipulations and deep tourists’ analysis with centrality.
},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Tourists’ behavior analysis has become a popular mean with Digital Tourism. Traditional ground studies has been extended with mas- sive data analysis to confront models. Tourism actors are faced with the need to deeply understand tourists’ circulation both quantitively and qualitatively. Thus, the challenge is to deal with data from tourist ori- ented social networks by integrating huge volumes of data. We propose in this paper the Neo4Tourism framework based on a graph data model specialized in digital tourism analysis. Our model is dedicated to tourists’ circulation and aims at simulating tourists’ behavior. In this demonstra- tion we discuss how our system 1) integrates data from TripAdvisor in a Neo4j graph database, 2) produces circulation graphs, 3) enhances graphs manipulations and deep tourists’ analysis with centrality.
|
Gaël Chareyron; Ugo Quelhas; Nicolas Travers Neo4Tourism - A framework for Graph Data Analysis on Tourism Inproceedings Bases de Données Avancées (BDA'19), 2019. BibTeX @inproceedings{Chareyron2019bb,
title = {Neo4Tourism - A framework for Graph Data Analysis on Tourism},
author = {Gaël Chareyron and Ugo Quelhas and Nicolas Travers},
year = {2019},
date = {2019-10-17},
booktitle = {Bases de Données Avancées (BDA'19)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
David Dupuis; Cédric du Mouza; Nicolas Travers; Gaël Chareyron Influence Maximization in a Real-Time Bidding Environment Inproceedings Bases de Données Avancées (BDA'19), 2019. BibTeX @inproceedings{Dupuis2019b,
title = {Influence Maximization in a Real-Time Bidding Environment},
author = {David Dupuis and Cédric du Mouza and Nicolas Travers and Gaël Chareyron},
year = {2019},
date = {2019-10-17},
booktitle = {Bases de Données Avancées (BDA'19)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Loiseau, T.J.; Djebali, S.; Raimbault, T.; Branchet, B.; Chareyron, G. Characterization of daily tourism behaviors based on place sequence analysis from photo sharing websites Inproceedings IEEE Big Data 2017, Boston, USA, 11-14 décembre, 2017. BibTeX @inproceedings{Charey2017d,
title = {Characterization of daily tourism behaviors based on place sequence analysis from photo sharing websites},
author = {Loiseau, T.J. and Djebali, S. and Raimbault, T. and Branchet, B. and Chareyron, G. },
year = {2017},
date = {2017-12-30},
booktitle = {IEEE Big Data 2017, Boston, USA, 11-14 décembre},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gaël Chareyron; Berengère Branchet; Sébastien Jacquot A new area tourist ranking method Inproceedings IEEE Big Data 2015, IEEE Santa-Clara, CA, USA, 2015. Résumé | BibTeX @inproceedings{ChareyronIEEE2015,
title = {A new area tourist ranking method},
author = {Gaël Chareyron and Berengère Branchet and Sébastien Jacquot},
year = {2015},
date = {2015-10-29},
booktitle = {IEEE Big Data 2015},
address = {Santa-Clara, CA, USA},
organization = {IEEE},
abstract = {This paper proposes a new method to classify tourist
areas following specific characteristics. Indeed, we introduce
some original computed indicators using social networks and
administrative data. These 10 indicators are used to construct
tourist area’s profiles.We demonstrate in this paper that different
tourist spots can then be grouped according to their profiles. Thus
we present an original area tourist ranking method based on big
data analysis.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper proposes a new method to classify tourist
areas following specific characteristics. Indeed, we introduce
some original computed indicators using social networks and
administrative data. These 10 indicators are used to construct
tourist area’s profiles.We demonstrate in this paper that different
tourist spots can then be grouped according to their profiles. Thus
we present an original area tourist ranking method based on big
data analysis. |
Gaël Chareyron; Jérôme Da-Rugna; Thomas Raimbault Big Data: a new challenge for tourism Inproceedings IEEE International Conference on Big Data, 2014, 2014. Résumé | Liens | BibTeX @inproceedings{CDR14,
title = {Big Data: a new challenge for tourism},
author = { Gaël Chareyron and Jérôme Da-Rugna and Thomas Raimbault},
url = {http://labs.esilv.fr/publications/public/2014/CDR14},
year = {2014},
date = {2014-01-01},
booktitle = {IEEE International Conference on Big Data, 2014},
abstract = {This paper proposes the foundations for a definition of digital tourist survey field based on the study of social networks. Several social network provide essential information on the perceptions of tourist destination. Nevertheless to operate correctly, several points should be discussed. This article provides multiple ideas for reflections on the challenges and opportunities offered by these new media.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper proposes the foundations for a definition of digital tourist survey field based on the study of social networks. Several social network provide essential information on the perceptions of tourist destination. Nevertheless to operate correctly, several points should be discussed. This article provides multiple ideas for reflections on the challenges and opportunities offered by these new media. |
Sairi Piñeros; Gaël Chareyron Co-producer tourists: the geographical imaginary of Colombian cities. Inproceedings RGS-IBG Annual International Conference 2014, 2014. Résumé | Liens | BibTeX @inproceedings{PC14,
title = {Co-producer tourists: the geographical imaginary of Colombian cities.},
author = { Sairi Piñeros and Gaël Chareyron},
url = {http://labs.esilv.fr/publications/public/2014/PC14},
year = {2014},
date = {2014-01-01},
booktitle = {RGS-IBG Annual International Conference 2014},
abstract = {Since 1980s, the USA, UK and EU Travel Warnings have alerted tourists about travel risks when visiting Colombian cities. Thenceforth, both alerts and risk imaginaries have remained in the minds of people. Today, the potential tourists to visit in Colombia usually seek information on the internet, finding different sources such as travel blogs, forums, photos and travel communities advices. This material from tourists, who have already traveled, will affect potential tourists beliefs. Likewise, tourists co-produce signals which influence places geographical imaginaries and urban beliefs. The objective of this poster is to present the progress of the PhD research exploration phase. Photos and broadcast media texts have been extracted, spatialized and analyzed. This information will help to understand the new technologies role on tourists experiences diffusion, in the case of cities affected by negative imaginaries.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Since 1980s, the USA, UK and EU Travel Warnings have alerted tourists about travel risks when visiting Colombian cities. Thenceforth, both alerts and risk imaginaries have remained in the minds of people. Today, the potential tourists to visit in Colombia usually seek information on the internet, finding different sources such as travel blogs, forums, photos and travel communities advices. This material from tourists, who have already traveled, will affect potential tourists beliefs. Likewise, tourists co-produce signals which influence places geographical imaginaries and urban beliefs. The objective of this poster is to present the progress of the PhD research exploration phase. Photos and broadcast media texts have been extracted, spatialized and analyzed. This information will help to understand the new technologies role on tourists experiences diffusion, in the case of cities affected by negative imaginaries. |
Thomas Raimbault; Gaël Chareyron; Corinne Krzyzanowski-Guillot Cognitive Map of Tourist Behavior based on Tripadvisor Inproceedings IEEE International Conference on Big Data, 2014, 2014. Résumé | Liens | BibTeX @inproceedings{RCK14,
title = {Cognitive Map of Tourist Behavior based on Tripadvisor},
author = { Thomas Raimbault and Gaël Chareyron and Corinne Krzyzanowski-Guillot},
url = {http://labs.esilv.fr/publications/public/2014/RCK14},
year = {2014},
date = {2014-01-01},
booktitle = {IEEE International Conference on Big Data, 2014},
abstract = {The objective of this paper is to identify, based on big data from Tripadvisor, tourist behavior in how users rate a tourist place. Firstly, we propose different correspondence analyses (CA) on data from Tripadvisor to discover pairwise dependences between data properties (e.g. rating vs. place type, age vs. country). Secondly, we merge and map all our CA results as a cognitive map, both to bring out and understand influences between the studied concepts and to make easier human visualization.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The objective of this paper is to identify, based on big data from Tripadvisor, tourist behavior in how users rate a tourist place. Firstly, we propose different correspondence analyses (CA) on data from Tripadvisor to discover pairwise dependences between data properties (e.g. rating vs. place type, age vs. country). Secondly, we merge and map all our CA results as a cognitive map, both to bring out and understand influences between the studied concepts and to make easier human visualization. |
Saskia Cousin; Gaël Chareyron; Jérôme Da-Rugna; Berengère Branchet; Dominique Bachelart; Maxime Michaud Du vélo au chateau. La diversité des pratiques et des imaginaires touristiques dans l'espace rural de la Touraine et du Blèsois. Inproceedings Colloque Pratiques touristiques, discours et représentations autour des usages contemporains de la ruralité – Ningbo (Chine), 2014. Liens | BibTeX @inproceedings{CCDBBM14,
title = {Du vélo au chateau. La diversité des pratiques et des imaginaires touristiques dans l'espace rural de la Touraine et du Blèsois.},
author = { Saskia Cousin and Gaël Chareyron and Jérôme Da-Rugna and Berengère Branchet and Dominique Bachelart and Maxime Michaud},
url = {http://labs.esilv.fr/publications/public/2014/CCDBBM14},
year = {2014},
date = {2014-01-01},
booktitle = {Colloque Pratiques touristiques, discours et représentations autour des usages contemporains de la ruralité – Ningbo (Chine)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Laurent Daireaux; Vincent Mallard; Berengère Branchet; Martin Tardy; Maxime Wasselin; Gaël Chareyron; Jérôme Da-Rugna Flickr Trace Summarization: from Images to Imaginary Inproceedings IEEE 2014. Résumé | Liens | BibTeX @inproceedings{DMBTWCD14,
title = {Flickr Trace Summarization: from Images to Imaginary},
author = { Laurent Daireaux and Vincent Mallard and Berengère Branchet and Martin Tardy and Maxime Wasselin and Gaël Chareyron and Jérôme Da-Rugna},
url = {http://labs.esilv.fr/publications/public/2014/DMBTWCD14},
year = {2014},
date = {2014-01-01},
organization = {IEEE},
series = {IEEE 18th International Conference on Intelligent Engineering Systems 2014 (INES 2014)},
abstract = {Stakeholders of tourism and science of tourism request tools to understand and analyze the tourist practices and tourist mobility. While these ones are still only partially known, the rise of image hosting websites opens a new trend to follow. This new source of information allows to apprehend frequentation of a tourist site according to seasons, years, photographer country of origin. Furthermore whatever the site size : city, county, country, continent or any delimited area. Focusing on a specific destination, the set of user photos characterizes his path and the items that illustrate, from his point of view, the destination. In this paper we propose a new methodology to automatically build path visual description from image hosting websites. To describe visually a path, a clustering process provides the most-representative images for each point of interest along the path. To illustrate how this work permits inference of imaginary, we present our results on New-York city.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stakeholders of tourism and science of tourism request tools to understand and analyze the tourist practices and tourist mobility. While these ones are still only partially known, the rise of image hosting websites opens a new trend to follow. This new source of information allows to apprehend frequentation of a tourist site according to seasons, years, photographer country of origin. Furthermore whatever the site size : city, county, country, continent or any delimited area. Focusing on a specific destination, the set of user photos characterizes his path and the items that illustrate, from his point of view, the destination. In this paper we propose a new methodology to automatically build path visual description from image hosting websites. To describe visually a path, a clustering process provides the most-representative images for each point of interest along the path. To illustrate how this work permits inference of imaginary, we present our results on New-York city. |
Berengère Branchet; Gaël Chareyron; Jérôme Da-Rugna; Sébastien Jacquot Le partage des expériences culinaires via les réseaux sociaux dans les destinations touristiques gastronomiques (Barcelone, Paris, Florence, Lyon) Inproceedings International Conference UNITWIN UNESCO Chair “Culture, Tourism, Development” Tourism and Gastronomy Heritage: Foodscapes, Gastroregions and Gastronomy Tourism, 2014. Résumé | Liens | BibTeX @inproceedings{BCDJ14,
title = {Le partage des expériences culinaires via les réseaux sociaux dans les destinations touristiques gastronomiques (Barcelone, Paris, Florence, Lyon)},
author = { Berengère Branchet and Gaël Chareyron and Jérôme Da-Rugna and Sébastien Jacquot},
url = {http://labs.esilv.fr/publications/public/2014/BCDJ14},
year = {2014},
date = {2014-01-01},
booktitle = {International Conference UNITWIN UNESCO Chair “Culture, Tourism, Development” Tourism and Gastronomy Heritage: Foodscapes, Gastroregions and Gastronomy Tourism},
abstract = {Cette proposition vise à étudier les modalités de partage et mise en scène des expériences culinaires via les réseaux sociaux, dans des destinations touristiques qui mettent en avant leur patrimoine gastronomique ou traditions culinaires (Barcelone, Paris, Florence, Lyon), par la collecte et analyse automatisée des évaluations et photos sur Tripadvisor et Instagram.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Cette proposition vise à étudier les modalités de partage et mise en scène des expériences culinaires via les réseaux sociaux, dans des destinations touristiques qui mettent en avant leur patrimoine gastronomique ou traditions culinaires (Barcelone, Paris, Florence, Lyon), par la collecte et analyse automatisée des évaluations et photos sur Tripadvisor et Instagram. |
Gaël Chareyron; Jérôme Da-Rugna; Daniel Gabay Opportunities & challenges of tourist data mining. Inproceedings on Sciences, Ninth International Conference Interdisciplinary Social (Ed.): Vancouver (Canada), 2014. Résumé | Liens | BibTeX @inproceedings{CDG14,
title = {Opportunities & challenges of tourist data mining.},
author = { Gaël Chareyron and Jérôme Da-Rugna and Daniel Gabay},
editor = {Ninth International Conference on Interdisciplinary Social Sciences},
url = {http://labs.esilv.fr/publications/public/2014/CDG14},
year = {2014},
date = {2014-01-01},
address = {Vancouver (Canada)},
abstract = {It is relatively easy to represent these footprints with density maps, which illustrate the main areas of touristic interest, and to produce them at various space scales and time seasons. But a more interesting approach is to analyze the trajectories of tourists at an individual level, a possibility offered by the way websites are structured. For instance we can interpolate the trip of a tourist in a city in a day, or in a given region for a longer vacation and even the various countries he has visited in recent years. Key to this approach is the construction of a large scale data matrix describing when a given photographer has visited a prescribed geographical site. By aggregation of the photographs in our sample (which can also distinguish characteristics such as citizenship, age, social status...), we thus obtain more detailed and robust frequentation statistics. Moreover we can construct graphs showing the similarity links between touristic sites or between photographers categories. We devote a considerable effort to algorithmic developments for clustering efficiently our dataset and reducing the dimension of our analysis. We report some of our results on a case study of the Loire Valley in central France, a UNESCO World Heritage site and discuss the further potential of our research for regional touristic policy improvement as well as for trip planning advices for individual tourists},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
It is relatively easy to represent these footprints with density maps, which illustrate the main areas of touristic interest, and to produce them at various space scales and time seasons. But a more interesting approach is to analyze the trajectories of tourists at an individual level, a possibility offered by the way websites are structured. For instance we can interpolate the trip of a tourist in a city in a day, or in a given region for a longer vacation and even the various countries he has visited in recent years. Key to this approach is the construction of a large scale data matrix describing when a given photographer has visited a prescribed geographical site. By aggregation of the photographs in our sample (which can also distinguish characteristics such as citizenship, age, social status...), we thus obtain more detailed and robust frequentation statistics. Moreover we can construct graphs showing the similarity links between touristic sites or between photographers categories. We devote a considerable effort to algorithmic developments for clustering efficiently our dataset and reducing the dimension of our analysis. We report some of our results on a case study of the Loire Valley in central France, a UNESCO World Heritage site and discuss the further potential of our research for regional touristic policy improvement as well as for trip planning advices for individual tourists |
Gaël Chareyron; Jérôme Da-Rugna; Saskia Cousin; Maxime Michaud Quand les touristes deviennent agence de voyages. La creation d une application collaborative Inproceedings Ludovia, 2014, (http://www.ludovia.com/2014/07/quand-les-touristes-deviennent-agence-de-voyages-la-creation-dune-application-collaborative/). Liens | BibTeX @inproceedings{CDCM14,
title = {Quand les touristes deviennent agence de voyages. La creation d une application collaborative},
author = { Gaël Chareyron and Jérôme Da-Rugna and Saskia Cousin and Maxime Michaud},
url = {http://labs.esilv.fr/publications/public/2014/CDCM14},
year = {2014},
date = {2014-01-01},
booktitle = {Ludovia},
note = {http://www.ludovia.com/2014/07/quand-les-touristes-deviennent-agence-de-voyages-la-creation-dune-application-collaborative/},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Berengère Branchet; Gaël Chareyron; Jérôme Da-Rugna R et apprentissage : analyse de comportement touristique à partir de données géographiques géotaggées Inproceedings LMCS, 2014. Liens | BibTeX @inproceedings{BCD14,
title = {R et apprentissage : analyse de comportement touristique à partir de données géographiques géotaggées},
author = { Berengère Branchet and Gaël Chareyron and Jérôme Da-Rugna},
url = {http://labs.esilv.fr/publications/public/2014/BCD14},
year = {2014},
date = {2014-01-01},
booktitle = {LMCS},
series = {Journée nationale pour la modélisation et la simulation 0D/1D},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gaël Chareyron; Saskia Cousin; Jérôme Da-Rugna; Daniel Gabay; Sébastien Jacquot Images de la métropole Inproceedings Les imaginaires de la métropole créative - Les médias de la métropole, de l’écriture à l’espace public, 2013. Liens | BibTeX @inproceedings{CCDGJ13,
title = {Images de la métropole},
author = { Gaël Chareyron and Saskia Cousin and Jérôme Da-Rugna and Daniel Gabay and Sébastien Jacquot},
url = {http://der3i.labs.esilv.fr/publications/public/2013/CCDGJ13},
year = {2013},
date = {2013-01-01},
booktitle = {Les imaginaires de la métropole créative - Les médias de la métropole, de l’écriture à l’espace public},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gaël Chareyron; Jérôme Da-Rugna; Berengère Branchet Mining tourist routes using flickr traces Inproceedings FOSINT-SI 2013 International Symposium on Foundations of Open Source Intelligence and Security Informatics - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013. Liens | BibTeX @inproceedings{CDB13,
title = {Mining tourist routes using flickr traces},
author = { Gaël Chareyron and Jérôme Da-Rugna and Berengère Branchet},
url = {http://der3i.labs.esilv.fr/publications/public/2013/CDB13},
year = {2013},
date = {2013-01-01},
booktitle = {FOSINT-SI 2013 International Symposium on Foundations of Open Source Intelligence and Security Informatics - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
