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.

• Type: Conference
• Year: 2009
• Where: FQAS
• Authors: Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Carlos J. Martín-Dancausa
• Keywords: FQAS 2009, Original Query Terms, Query Terms, RF Method