Incremental methods for context-basedWeb retrieval

Intelligent search depends on effective methods for identifying the information needs of a user and making relevant information resources available when needed. Reflecting user context has long been recognized as a key aspect to realizing the potential of intelligent Web search. This paper proposes...

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Detalles Bibliográficos
Autores principales: Lorenzetti, Carlos M., Sagui, Fernando, Maguitman, Ana Gabriela, Chesñevar, Carlos Iván, Simari, Guillermo Ricardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
web search
context
RSS feeds
Search process
Query formulation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22661
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-22661
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
web search
context
RSS feeds
Search process
Query formulation
spellingShingle Ciencias Informáticas
web search
context
RSS feeds
Search process
Query formulation
Lorenzetti, Carlos M.
Sagui, Fernando
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
Incremental methods for context-basedWeb retrieval
topic_facet Ciencias Informáticas
web search
context
RSS feeds
Search process
Query formulation
description Intelligent search depends on effective methods for identifying the information needs of a user and making relevant information resources available when needed. Reflecting user context has long been recognized as a key aspect to realizing the potential of intelligent Web search. This paper proposes a theoretical basis for better understanding the role of context in Web retrieval. It addresses the problem of identifying context-specific terms, finding relevant information sources, and automatically formulating and refining queries. We describe ongoing research on the use of incremental methods to retrieve relevant content through two main approaches. The first, feed-based, periodically checks for new relevant items in specific websites by accessing RSS feeds. The second, query-based, incrementally formulates queries, which are submitted to search interfaces (e.g., major search engines or individual search forms). We discuss the technical challenges imposed by these approaches, outline our system architecture, and present preliminary evaluations of the proposed techniques.
format Objeto de conferencia
Objeto de conferencia
author Lorenzetti, Carlos M.
Sagui, Fernando
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_facet Lorenzetti, Carlos M.
Sagui, Fernando
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_sort Lorenzetti, Carlos M.
title Incremental methods for context-basedWeb retrieval
title_short Incremental methods for context-basedWeb retrieval
title_full Incremental methods for context-basedWeb retrieval
title_fullStr Incremental methods for context-basedWeb retrieval
title_full_unstemmed Incremental methods for context-basedWeb retrieval
title_sort incremental methods for context-basedweb retrieval
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/22661
work_keys_str_mv AT lorenzetticarlosm incrementalmethodsforcontextbasedwebretrieval
AT saguifernando incrementalmethodsforcontextbasedwebretrieval
AT maguitmananagabriela incrementalmethodsforcontextbasedwebretrieval
AT chesnevarcarlosivan incrementalmethodsforcontextbasedwebretrieval
AT simariguillermoricardo incrementalmethodsforcontextbasedwebretrieval
bdutipo_str Repositorios
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