@inproceedings{641dc14c03be4484a81e349bc751904d,
title = "From Cluster Ranking to Document Ranking",
abstract = "The common approach of using clusters of similar documents for ad hoc document retrieval is to rank the clusters in response to the query; then, the cluster ranking is transformed to document ranking. We present a novel supervised approach to transform cluster ranking to document ranking. The approach allows to simultaneously utilize different clusterings and the resultant cluster rankings; this helps to improve the modeling of the document similarity space. Empirical evaluation shows that using our approach results in performance that substantially transcends the state-of-the-art in cluster-based document retrieval.",
keywords = "ad hoc retrieval, cluster ranking, document ranking",
author = "Egor Markovskiy and Fiana Raiber and Shoham Sabach and Oren Kurland",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022 ; Conference date: 11-07-2022 Through 15-07-2022",
year = "2022",
month = jul,
day = "6",
doi = "10.1145/3477495.3531819",
language = "אנגלית",
series = "SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval",
pages = "2137--2141",
booktitle = "SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval",
}