TY - GEN
T1 - Navigating the user query space
AU - Cummins, Ronan
AU - Lalmas, Mounia
AU - O'Riordan, Colm
AU - Jose, Joemon M.
PY - 2011
Y1 - 2011
N2 - Query performance prediction (QPP) aims to automatically estimate the performance of a query. Recently there have been many attempts to use these predictors to estimate whether a perturbed version of a query will outperform the original version. In essence, these approaches attempt to navigate the space of queries in a guided manner. In this paper, we perform an analysis of the query space over a substantial number of queries and show that (1) users tend to be able to extract queries that perform in the top 5% of all possible user queries for a specific topic, (2) that post-retrieval predictors outperform pre-retrieval predictors at the high end of the query space. And, finally (3), we show that some post retrieval predictors are better able to select high performing queries from a group of user queries for the same topic.
AB - Query performance prediction (QPP) aims to automatically estimate the performance of a query. Recently there have been many attempts to use these predictors to estimate whether a perturbed version of a query will outperform the original version. In essence, these approaches attempt to navigate the space of queries in a guided manner. In this paper, we perform an analysis of the query space over a substantial number of queries and show that (1) users tend to be able to extract queries that perform in the top 5% of all possible user queries for a specific topic, (2) that post-retrieval predictors outperform pre-retrieval predictors at the high end of the query space. And, finally (3), we show that some post retrieval predictors are better able to select high performing queries from a group of user queries for the same topic.
UR - https://www.scopus.com/pages/publications/80053989609
U2 - 10.1007/978-3-642-24583-1_37
DO - 10.1007/978-3-642-24583-1_37
M3 - Conference Publication
AN - SCOPUS:80053989609
SN - 9783642245824
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 380
EP - 385
BT - String Processing and Information Retrieval - 18th International Symposium, SPIRE 2011, Proceedings
T2 - 18th International Symposium on String Processing and Information Retrieval, SPIRE 2011
Y2 - 17 October 2011 through 21 October 2011
ER -