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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/89026
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:18:31Zoai: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:34982025-09-29 10:18:31.527CONICET 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/ |
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openAccess |
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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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |