Ranking List Dispersion as a Query Performance Predictor Export

@incollection{citeulike:5769970, 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.}, author = {P\'{e}rez-Iglesias, Joaqu\'{\i}n and Araujo, Lourdes}, citeulike-article-id = {5769970}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-04417-5_42}, citeulike-linkout-1 = {http://www.springerlink.com/content/g863327281862r06}, doi = {10.1007/978-3-642-04417-5_42}, journal = {Advances in Information Retrieval Theory}, keywords = {ictir, poster, query-performance, ranking}, pages = {371--374}, posted-at = {2009-09-10 15:17:09}, priority = {4}, title = {Ranking List Dispersion as a Query Performance Predictor}, url = {http://dx.doi.org/10.1007/978-3-642-04417-5_42}, year = {2009} }

TY - CHAP ID - citeulike:5769970 L3 - citeulike-article-id:5769970 N2 - 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. JF - Advances in Information Retrieval Theory EP - 374 TI - Ranking List Dispersion as a Query Performance Predictor SP - 371 KW - ictir KW - poster KW - query-performance KW - ranking AU - Pérez-Iglesias, Joaquín AU - Araujo, Lourdes PY - 2009/// UR - http://dx.doi.org/10.1007/978-3-642-04417-5_42 ER -