Artículo
Searching in the Context of a Task: A Review of Methods and Tools
Fecha de publicación:
04/04/2018
Editorial:
Latin-american Center for Informatics Studies
Revista:
CLEI Electronic Journal
ISSN:
0717-5000
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
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Identificadores
Colecciones
Articulos(CCT - BAHIA BLANCA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - BAHIA BLANCA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - BAHIA BLANCA
Citación
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
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