Evaluation of a Methodology for Modeling Term Relationship through Geometry: Experiments at TREC 2010 Relevance Feedback Track
نویسندگان
چکیده
The work reported in this paper is focused on the experimental evaluation of a methodology which models sources for feedback through a vector subspace formalism. This work considers a specific application of the methodology that exploits correlation among terms in documents judged as relevant to support feedback. Experiments were carried out during the participation to the TREC 2010 Relevance Feedback Track, thus investigating the effectiveness of the methodology application for modeling term correlation on a very large text corpus and when little evidence, namely one relevant document, is used as input for feedback.
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