Soboroff, I.
(2007),
A Comparison of Pooled and Sampled Relevance Judgments, Proceedings of the Annual International ACM SIGIR Conference on Research and Development inInformation Retrieval
(Accessed May 5, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Comparison of Pooled and Sampled Relevance Judgments
Published
Author(s)
Abstract
Test collections are most useful when they are reusable, that is, when they can be reliably used to rank systems that did not contribute to the pools. Pooled relevance judgments for very large collections may not be reusable for two reasons: they will be very sparse and not sufficiently complete, and they may be biased in the sense that they will unfairly rank some class of systems. The TREC 2006 terabyte track judged both a pool and a deep random sample in order to measure the effects of sparseness and bias.Proceedings Title
Proceedings of the Annual International ACM SIGIR Conference on Research and Development inInformation Retrieval
Conference Title
Annual Conference on Research adn Development in Information Retrieval (SIGIR )
Pub Type
Conferences
Keywords
nformation retrieval, test collections
Citation
Created August 29, 2007, Updated February 19, 2017