PERSONAL DE APOYO
LORENZETTI Carlos Martin
artículos
Título:
Tuning Topical Queries through Context Vocabulary Enrichment: A Corpus-Based Approach
Autor/es:
LORENZETTI CARLOS MARTÍN; MAGUITMAN ANA GABRIELA
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
Springer
Referencias:
Lugar: Heidelberg; Año: 2008 vol. 5333 p. 646 - 655
ISSN:
0302-9743
Resumen:
Context-based Web search has become an important research area and many strategies have been proposed to reflect contextual information in search queries. Despite the success of some of these proposals they still have serious limitations due to their inability to bridge the terminology gap existing between the user context description and the relevant documents vocabulary. This paper presents a quantitative technique to learn vocabularies useful for describing the theme of a context under analysis. The enriched vocabulary allows the formulation of search queries to identify resources with higher precision than those identified using the initial vocabulary. Rigorous experimentation leads us to conclude that the proposed technique is superior to a baseline and other well-known query reformulation techniques.
