@inproceedings{74f09fb5fd42472290947e98d5676adb,
title = "A relevance-novelty combined model for genomics search result diversification",
abstract = "Traditional retrieval models assume that the relevance of a document is independent of the relevance of other documents. However, this assumption may result in high redundancy and low diversity in a ranked list. In order to provide comprehensive and diverse answers to fulfill biologists' information need, we propose a relevance-novelty combined model, named RelNov model, based on the framework of an undirected graphical model. Experiments conducted on the TREC 2006 and 2007 Genomics collections show that the proposed approach is effective in promoting both diversity and relevance of retrieval ranked lists.",
keywords = "Diversity, Genomics search, Graphical model",
author = "Xiaoshi Yin and Zhoujun Li and Huang, \{Jimmy Xiangji\} and Xiaohua Hu",
year = "2010",
doi = "10.1109/BIBM.2010.5706654",
language = "英语",
isbn = "9781424483075",
series = "Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010",
pages = "692--695",
booktitle = "Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010",
note = "2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010 ; Conference date: 18-12-2010 Through 21-12-2010",
}