Ranking List Dispersion as a Query Performance Predictor

Abstract. In this paper we introduce a novel approach for query performance prediction based on ranking list scores dispersion. Starting from the hypothesis that different score distributions appear for good and poor performance queries, we introduce a set of measures that capture these differences between both types of distributions. The use of measures based on standard deviation of ranking list scores, as a prediction value, shows a significant correlation degree in terms of average precision.

• Type: Conference
• Year: 2009
• Where: ICTIR
• Authors: Joaquín Pérez-Iglesias, Lourdes Araujo
• Keywords: ICTIR 2009, Information Retrieval, List Scores Dispersion, Query Performance Prediction, Ranking List Scores