Improved query performance prediction using standard deviation

Cummins, R., Jose, J. and O'Riordan, C. (2011) Improved query performance prediction using standard deviation. In: 34th International ACM SIGIR Conference on Research and Development in Information, Beijing, China, 24-28 July 2011, pp. 1089-1090. (doi: 10.1145/2009916.2010063)

Abstract

Query performance prediction (QPP) is an important task in information retrieval (IR). In this paper, we (1) develop a new predictor based on the standard deviation of scores in a variable length ranked list, and (2) we show that this new predictor outperforms state-of-the-art approaches without the need for tuning.

• Item Type: Conference Proceedings
• Additional Information: ISBN: 9781450307574
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Cummins, Dr Ronan
• Authors: Cummins, R., Jose, J., and O'Riordan, C.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science