INVESTIGADORES
CHESÑEVAR Carlos Ivan
congresos y reuniones científicas
Título:
Exploiting User Context and Preferences for Intelligent Web Search
Autor/es:
CARLOS IVÁN CHESÑEVAR; CARLOS LORENZETTI; ANA MAGUITMAN; FERNANDO SAGUI; GUILLERMO SIMARI,
Lugar:
Morón, Argentina
Reunión:
Workshop; 8vo Workshop de Investigadores en Cs. de la Computación; 2006
Institución organizadora:
RedUNCI
Resumen:
Seeking information relevant to a topic of interest has become
a common task in our daily activities. However,
searching the Web using current technologies still presents
many limitations. One of the main limitations is that existing
tools for searching the Web restrict user queries to
a small number of terms. As a result, a single query may
not reflect the user information needs at a sufficient level
of detail. In addition, even if longer queries were allowed,
the user may not find the right terms to supply appropriate
queries, or may not be willing to put the effort required to
explicitly describe his or her information needs. Another
limitation of todays search tools is that they are not capable
of performing qualitative inference on the suggestions
they offer. For certain domains, such as news or scientific
articles, a good amount of structural information can
be usefully exploited to extract meaningful content. This
can help sort out the material returned by a search engine
and to perform a qualitative analysis to warrant some of the
search results. This paper shows how to enhance current
search engines capabilities by (1) taking advantage of the
user context, and (2) ranking search results based on preferential
criteria provided by the user. We describe ongoing
research on the use of context-specific terms to refine Web
search and on the use of a defeasible argumentation framework
to prioritize search results.