Query quality: user ratings and system predictions

Hauff, C., Jong, F., Kelly, D. and Azzopardi, L. (2010) Query quality: user ratings and system predictions. In: 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, Switzerland, 19-23 Jul 2010, pp. 743-744. ISBN 9781450301534 (doi: 10.1145/1835449.1835594)

Abstract

Numerous studies have examined the ability of query performance prediction methods to estimate a query's quality for system effectiveness measures (such as average precision). However, little work has explored the relationship between these methods and user ratings of query quality. In this poster, we report the findings from an empirical study conducted on the TREC ClueWeb09 corpus, where we compared and contrasted user ratings of query quality against a range of query performance prediction methods. Given a set of queries, it is shown that user ratings of query quality correlate to both system effectiveness measures and a number of pre-retrieval predictors.

• Item Type: Conference Proceedings
• Keywords: query performance prediction
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Azzopardi, Dr Leif
• Authors: Hauff, C., Jong, F., Kelly, D., and Azzopardi, L.
• Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science; Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781450301534