@inproceedings{caa884a15fa845d089097b53a7c8165d,
title = "Improving similar document retrieval using a recursive pseudo relevance feedback strategy",
abstract = "We present a recursive pseudo relevance feedback strategy for improving retrieval performance in similarity search. The strategy recursively searches on search results returned for a given query and produces a tree that is used for ranking. Experiments on the Reuters 21578 and WebKB datasets show how the strategy leads to a significant improvement in similarity search performance.",
author = "Kyle Williams and Giles, {C. Lee}",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 16th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2016 ; Conference date: 19-06-2016 Through 23-06-2016",
year = "2016",
month = sep,
day = "1",
doi = "10.1145/2910896.2925468",
language = "English (US)",
series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "275--276",
booktitle = "JCDL 2016 - Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries",
address = "United States",
}