@inproceedings{f72c384b433a4a24afd64488cbd6cc78,
title = "Promoting ranking diversity for biomedical information retrieval using wikipedia",
abstract = "In this paper, we propose a cost-based re-ranking method to promote ranking diversity for biomedical information retrieval. The proposed method concerns with finding passages that cover many different aspects of a query topic. First, aspects covered by retrieved passages are detected and explicitly presented by Wikipedia concepts. Then, an aspect filter based on a two-stage model is introduced. It ranks the detected aspects in decreasing order of the probability that an aspect is generated by the query. Finally, retrieved passages are re-ranked using the proposed cost-based re-ranking method which ranks a passage according to the number of new aspects covered by the passage and the query-relevance of aspects covered by the passage. A series of experiments conducted on the TREC 2006 and 2007 Genomics collections demonstrate the effectiveness of the proposed method in promoting ranking diversity for biomedical information retrieval.",
keywords = "Biomedical IR, Ranking diversity, Re-ranking",
author = "Xiaoshi Yin and Xiangji Huang and Zhoujun Li",
year = "2010",
doi = "10.1007/978-3-642-12275-0\_43",
language = "英语",
isbn = "3642122744",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "495--507",
booktitle = "Advances in Information Retrieval - 32nd European Conference on IR Research, ECIR 2010, Proceedings",
address = "德国",
note = "32nd European Conference on Information Retrieval, ECIR 2010 ; Conference date: 28-03-2010 Through 31-03-2010",
}