Information processing for mood-based contextual recommendation in mobility environments

Context-awareness is a technological trend that adds value in many fields. In this work, a research on context that is associated to public information contents is presented. The global objective is to perform fully contextual recommendations in a variety of scenarios, where the context model extrac...

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Detalles Bibliográficos
Autor: Planagumà i Valls, Marc
Tipo de recurso: tesis de maestría
Fecha de publicación:2011
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099.1/11584
Acceso en línea:https://hdl.handle.net/2099.1/11584
Access Level:acceso abierto
Palabra clave:Information storage and retrieval systems
Context-aware
Prediction
Mood
Informació -- Sistemes d'emmagatzematge i recuperació
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
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oai_identifier_str oai:upcommons.upc.edu:2099.1/11584
network_acronym_str ES
network_name_str España
repository_id_str
spelling Information processing for mood-based contextual recommendation in mobility environmentsPlanagumà i Valls, MarcInformation storage and retrieval systemsContext-awarePredictionMoodInformació -- Sistemes d'emmagatzematge i recuperacióÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informacióContext-awareness is a technological trend that adds value in many fields. In this work, a research on context that is associated to public information contents is presented. The global objective is to perform fully contextual recommendations in a variety of scenarios, where the context model extracted for information items is used as the basis for the enhanced recommendation. Specific works provided on this thesis are the details about the mechanisms to extract context from user-generated contents. Such mechanisms are based on a combination of text mining algorithms, a flexible model and execution architecture that enables the processing of any kind of item for the purpose of context extraction. Apart of the processing model details, a complete prototype is implemented and presented as a "Telefonica I+D" project called Walkopedia?, for a specific use case, especially interesting for telecommunications operators, as context-based recommendations in mobility environments, where getting information highly-personalized not only for the specific user but also to specific context is a must.Universitat Politècnica de CatalunyaMeseguer Pallarès, Roc20112011-03-2520112011-04-08master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2099.1/11584reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 3.0 Spainhttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2099.1/115842026-05-27T15:37:01Z
dc.title.none.fl_str_mv Information processing for mood-based contextual recommendation in mobility environments
title Information processing for mood-based contextual recommendation in mobility environments
spellingShingle Information processing for mood-based contextual recommendation in mobility environments
Planagumà i Valls, Marc
Information storage and retrieval systems
Context-aware
Prediction
Mood
Informació -- Sistemes d'emmagatzematge i recuperació
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
title_short Information processing for mood-based contextual recommendation in mobility environments
title_full Information processing for mood-based contextual recommendation in mobility environments
title_fullStr Information processing for mood-based contextual recommendation in mobility environments
title_full_unstemmed Information processing for mood-based contextual recommendation in mobility environments
title_sort Information processing for mood-based contextual recommendation in mobility environments
dc.creator.none.fl_str_mv Planagumà i Valls, Marc
author Planagumà i Valls, Marc
author_facet Planagumà i Valls, Marc
author_role author
dc.contributor.none.fl_str_mv Meseguer Pallarès, Roc
dc.subject.none.fl_str_mv Information storage and retrieval systems
Context-aware
Prediction
Mood
Informació -- Sistemes d'emmagatzematge i recuperació
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
topic Information storage and retrieval systems
Context-aware
Prediction
Mood
Informació -- Sistemes d'emmagatzematge i recuperació
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
description Context-awareness is a technological trend that adds value in many fields. In this work, a research on context that is associated to public information contents is presented. The global objective is to perform fully contextual recommendations in a variety of scenarios, where the context model extracted for information items is used as the basis for the enhanced recommendation. Specific works provided on this thesis are the details about the mechanisms to extract context from user-generated contents. Such mechanisms are based on a combination of text mining algorithms, a flexible model and execution architecture that enables the processing of any kind of item for the purpose of context extraction. Apart of the processing model details, a complete prototype is implemented and presented as a "Telefonica I+D" project called Walkopedia?, for a specific use case, especially interesting for telecommunications operators, as context-based recommendations in mobility environments, where getting information highly-personalized not only for the specific user but also to specific context is a must.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-03-25
2011
2011-04-08
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2099.1/11584
url https://hdl.handle.net/2099.1/11584
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 3.0 Spain
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 3.0 Spain
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410916999626752
score 15,300724

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