@inproceedings{f9733018c28b411589ed5d491c757097,
title = "Testing the cluster hypothesis with focused and graded relevance judgments",
abstract = "The cluster hypothesis is a fundamental concept in ad hoc retrieval. Heretofore, cluster hypothesis tests were applied to documents using binary relevance judgments. We present novel tests that utilize graded and focused relevance judgments; the latter are markups of relevant text in relevant documents. Empirical exploration reveals that the cluster hypothesis holds not only for documents, but also for passages, as measured by the proposed tests. Furthermore, the hypothesis holds to a higher extent for highly relevant documents and for those that contain a high fraction of relevant text.",
keywords = "Cluster hypothesis, Inter-passage similarities, Passages",
author = "Eilon Sheetrit and Anna Shtok and Oren Kurland and Igal Shprincis",
note = "Publisher Copyright: {\textcopyright} 2018 ACM.; 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 ; Conference date: 08-07-2018 Through 12-07-2018",
year = "2018",
month = jun,
day = "27",
doi = "https://doi.org/10.1145/3209978.3210120",
language = "الإنجليزيّة",
series = "41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018",
pages = "1173--1176",
booktitle = "41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018",
}