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FQAS
2009
Springer

Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System

8 years 10 months ago
Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This paper presents a new RF method for keyword queries (content queries). It is based on the re-weighting of the original query terms plus the addition of new query terms from the content of elements jugded as relevant or non-relevant by the user. This RF method is integrated in our search engine, Garnata, and evaluated with the INEX 2007 collection.
Luis M. de Campos, Juan M. Fernández-Luna,
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where FQAS
Authors Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Carlos J. Martín-Dancausa
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