Conference Publication Details
Mandatory Fields
Ronan Cummins, Mounia Lalmas, Colm O'Riordan, Joemon M. Jose
String Processing and Information Retrieval, 18th International Symposium
Navigating the User Query Space
2011
October
Published
1
()
Optional Fields
Query Difficulty
Grossi, Fabrizio Sebastiani, Fabrizio Silvestri
380
385
Pisa, Italy
17-OCT-11
21-OCT-11
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.
https://link.springer.com/chapter/10.1007/978-3-642-24583-1_37
Grant Details
Publication Themes
Informatics, Physical and Computational Sciences