@inproceedings{576618fd4eb0457fbb60015c1d16b130,
title = "Utilizing focused relevance feedback",
abstract = "We present a novel study of ad hoc retrieval methods utilizing document-level relevance feedback and/or focused relevance feedback; namely, passages marked as (non-)relevant. The first method uses a novel mixture model that integrates relevant and non-relevant information at the language model level. The second method fuses retrieval scores produced by using relevant and non-relevant information separately. Empirical exploration attests to the merits of our methods, and sheds light on the effectiveness of using and integrating relevance feedback for textual units of varying granularities.",
keywords = "Focused relevance feedback",
author = "Elinor Brondwine and Anna Shtok and Oren Kurland",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016 ; Conference date: 17-07-2016 Through 21-07-2016",
year = "2016",
month = jul,
day = "7",
doi = "https://doi.org/10.1145/2911451.2914695",
language = "الإنجليزيّة",
series = "SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval",
pages = "1061--1064",
booktitle = "SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval",
}