@inproceedings{f36736a997a54a959c47981e6282a205,
title = "A survival modeling approach to biomedical search result diversification",
abstract = "In this paper, we propose a probabilistic survival model derived from the survival analysis theory for measuring aspect novelty. The retrieved documents' query-relevance and novelty are combined at the aspect level for re-ranking. Experiments conducted on the TREC 2006 and 2007 Genomics collections demonstrate the effectiveness of the proposed approach in promoting ranking diversity for biomedical information retrieval.",
keywords = "Biomedical IR, Diversity, Survival modeling",
author = "Xiaoshi Yin and Huang, \{Jimmy Xiangji\} and Xiaofeng Zhou and Zhoujun Li",
year = "2010",
doi = "10.1145/1835449.1835673",
language = "英语",
isbn = "9781605588964",
series = "SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",
pages = "901--902",
booktitle = "SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",
note = "33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 ; Conference date: 19-07-2010 Through 23-07-2010",
}