Searching in the Context of a Task: A Review of Methods and Tools

Autores
Maguitman, Ana Gabriela
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Contextual information extracted from the user task can help to better target retrieval to task-relevant content. In particular, topical context can be exploited to identify the sub- ject of the information needs, contributing to reduce the information overload problem. A great number of methods exist to extract raw context data and contextual interaction patterns from the user task and to model this information using higher-level represen- tations. Context can then be used as a source for automatic query generation, or as a means to refine or disambiguate user-generated queries. It can also be used to filter and rank results as well as to select domain-specific search engines with better capabilities to satisfy specific information requests. This article reviews methods that have been applied to deal with the problem of reflecting the current and long-term interests of a user in the search process. It discusses major difficulties encountered in the research area of context-based information retrieval and presents an overview of tools proposed since the mid-nineties to deal with the problem of context-based search.
Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
Materia
Context-Based Search
Task-Based Search
Topical Search
Information Retrieval
Personalization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/89026
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Searching in the Context of a Task: A Review of Methods and ToolsMaguitman, Ana GabrielaContext-Based SearchTask-Based SearchTopical SearchInformation RetrievalPersonalizationhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Contextual information extracted from the user task can help to better target retrieval to task-relevant content. In particular, topical context can be exploited to identify the sub- ject of the information needs, contributing to reduce the information overload problem. A great number of methods exist to extract raw context data and contextual interaction patterns from the user task and to model this information using higher-level represen- tations. Context can then be used as a source for automatic query generation, or as a means to refine or disambiguate user-generated queries. It can also be used to filter and rank results as well as to select domain-specific search engines with better capabilities to satisfy specific information requests. This article reviews methods that have been applied to deal with the problem of reflecting the current and long-term interests of a user in the search process. It discusses major difficulties encountered in the research area of context-based information retrieval and presents an overview of tools proposed since the mid-nineties to deal with the problem of context-based search.Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; ArgentinaLatin-american Center for Informatics Studies2018-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/89026Maguitman, Ana Gabriela; Searching in the Context of a Task: A Review of Methods and Tools; Latin-american Center for Informatics Studies; CLEI Electronic Journal; 21; 1; 4-4-2018; 1-260717-5000CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.clei.org/cleiej/index.php/cleiej/article/view/253info:eu-repo/semantics/altIdentifier/doi/10.19153/cleiej.21.1.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:51:14Zoai:ri.conicet.gov.ar:11336/89026instacron: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:34982025-10-22 11:51:15.165CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Searching in the Context of a Task: A Review of Methods and Tools
title Searching in the Context of a Task: A Review of Methods and Tools
spellingShingle Searching in the Context of a Task: A Review of Methods and Tools
Maguitman, Ana Gabriela
Context-Based Search
Task-Based Search
Topical Search
Information Retrieval
Personalization
title_short Searching in the Context of a Task: A Review of Methods and Tools
title_full Searching in the Context of a Task: A Review of Methods and Tools
title_fullStr Searching in the Context of a Task: A Review of Methods and Tools
title_full_unstemmed Searching in the Context of a Task: A Review of Methods and Tools
title_sort Searching in the Context of a Task: A Review of Methods and Tools
dc.creator.none.fl_str_mv Maguitman, Ana Gabriela
author Maguitman, Ana Gabriela
author_facet Maguitman, Ana Gabriela
author_role author
dc.subject.none.fl_str_mv Context-Based Search
Task-Based Search
Topical Search
Information Retrieval
Personalization
topic Context-Based Search
Task-Based Search
Topical Search
Information Retrieval
Personalization
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Contextual information extracted from the user task can help to better target retrieval to task-relevant content. In particular, topical context can be exploited to identify the sub- ject of the information needs, contributing to reduce the information overload problem. A great number of methods exist to extract raw context data and contextual interaction patterns from the user task and to model this information using higher-level represen- tations. Context can then be used as a source for automatic query generation, or as a means to refine or disambiguate user-generated queries. It can also be used to filter and rank results as well as to select domain-specific search engines with better capabilities to satisfy specific information requests. This article reviews methods that have been applied to deal with the problem of reflecting the current and long-term interests of a user in the search process. It discusses major difficulties encountered in the research area of context-based information retrieval and presents an overview of tools proposed since the mid-nineties to deal with the problem of context-based search.
Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
description Contextual information extracted from the user task can help to better target retrieval to task-relevant content. In particular, topical context can be exploited to identify the sub- ject of the information needs, contributing to reduce the information overload problem. A great number of methods exist to extract raw context data and contextual interaction patterns from the user task and to model this information using higher-level represen- tations. Context can then be used as a source for automatic query generation, or as a means to refine or disambiguate user-generated queries. It can also be used to filter and rank results as well as to select domain-specific search engines with better capabilities to satisfy specific information requests. This article reviews methods that have been applied to deal with the problem of reflecting the current and long-term interests of a user in the search process. It discusses major difficulties encountered in the research area of context-based information retrieval and presents an overview of tools proposed since the mid-nineties to deal with the problem of context-based search.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-04
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/11336/89026
Maguitman, Ana Gabriela; Searching in the Context of a Task: A Review of Methods and Tools; Latin-american Center for Informatics Studies; CLEI Electronic Journal; 21; 1; 4-4-2018; 1-26
0717-5000
CONICET Digital
CONICET
url http://hdl.handle.net/11336/89026
identifier_str_mv Maguitman, Ana Gabriela; Searching in the Context of a Task: A Review of Methods and Tools; Latin-american Center for Informatics Studies; CLEI Electronic Journal; 21; 1; 4-4-2018; 1-26
0717-5000
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.clei.org/cleiej/index.php/cleiej/article/view/253
info:eu-repo/semantics/altIdentifier/doi/10.19153/cleiej.21.1.1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Latin-american Center for Informatics Studies
publisher.none.fl_str_mv Latin-american Center for Informatics Studies
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 12.982451

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