Abstract
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.
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de Campos, L.M., Fernández-Luna, J.M., Huete, J.F., Martín-Dancausa, C. (2009). Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2009. Lecture Notes in Computer Science(), vol 5822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04957-6_53
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DOI: https://doi.org/10.1007/978-3-642-04957-6_53
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