@inproceedings{c34a56be78fd42b28297e22c902ef4f5,
title = "Theoretical categorization of query performance predictors",
abstract = "The query-performance prediction task aims at estimating the retrieval effectiveness of queries without obtaining relevance feedback from users. Most of the recently proposed predictors were empirically evaluated with various datasets to demonstrate their merits. We propose a framework for theoretical categorization and estimation of the value of query performance predictors (QPP) without empirical evaluation. We demonstrate the application of the proposed framework on four representative selected predictors and show how it emphasizes their strengths and weaknesses. The main contribution of this work is the theoretical grounded categorization of representative QPP.",
keywords = "Categorization, Query-performance prediction, Theoretical evaluation",
author = "Victor Makarenkov and Bracha Shapira and Lior Rokach",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 5th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
month = sep,
day = "27",
doi = "10.1145/2808194.2809475",
language = "American English",
series = "ICTIR 2015 - Proceedings of the 2015 ACM SIGIR International Conference on the Theory of Information Retrieval",
pages = "369--372",
booktitle = "ICTIR 2015 - Proceedings of the 2015 ACM SIGIR International Conference on the Theory of Information Retrieval",
}