{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T09:40:30Z","timestamp":1729676430021,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1109\/bibm.2015.7359729","type":"proceedings-article","created":{"date-parts":[[2015,12,17]],"date-time":"2015-12-17T22:00:00Z","timestamp":1450389600000},"page":"464-469","source":"Crossref","is-referenced-by-count":1,"title":["Learning to rank for biomedical information retrieval"],"prefix":"10.1109","author":[{"family":"Bo Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Hongfei Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yuan Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yunlong Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Liang Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Jian Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zhihao Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1007\/s10791-008-9076-6"},{"key":"ref11","first-page":"15","article-title":"Ranking biomedical passages for relevance and diversity","author":"goldbery","year":"0","journal-title":"University of Wisconsin Madison at TREC Genomics 2006 Proc of TREC"},{"key":"ref12","article-title":"Combining Resources to Find Answers to Biomedical Questions","author":"demner-fushman","year":"2007","journal-title":"TREC"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1007\/978-3-642-12275-0_43"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/TKDE.2012.24"},{"key":"ref15","first-page":"692","article-title":"A relevance-novelty combined model for genomics search result diversification. In Bioinformatics and Biomedicine (","author":"yin","year":"2010","journal-title":"2010 IEEE International Conference on"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/BIBM.2011.28"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1145\/2484028.2484174"},{"year":"2014","author":"wu","key":"ref18"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1007\/s10791-009-9123-y"},{"key":"ref28","article-title":"Entity-Based Relevance Feedback for Genomic List Answer","author":"stokes","year":"2007","journal-title":"TREC"},{"key":"ref4","first-page":"933","article-title":"An efficient boosting algorithm for combining preferences","volume":"4","author":"freund","year":"2003","journal-title":"The Journal of Machine Learning Research"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1145\/2009916.2009932"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1145\/1148170.1148205"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1561\/1500000016"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1145\/1273496.1273513"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1145\/775047.775067"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1145\/1277741.1277809"},{"key":"ref7","article-title":"Ranking, boosting, and model adaptation","author":"wu","year":"2008","journal-title":"Tecnical Report MSR-TR-2008&#x2013;109"},{"key":"ref2","first-page":"193","article-title":"Learning to rank with nonsmooth cost functions","author":"burges","year":"2006","journal-title":"NIPS"},{"year":"2006","author":"hersh","journal-title":"TREC 2006 Genomics Track Overview","key":"ref9"},{"key":"ref1","first-page":"23","article-title":"From ranknet to lambdarank to lambdamart: An overview","volume":"11","author":"burges","year":"2010","journal-title":"Learning"},{"key":"ref20","first-page":"1589","article-title":"Learning to rank with","author":"lin","year":"2010","journal-title":"Proceedings of the 19th ACM International Conference on Information and Knowledge Management"},{"key":"ref22","first-page":"109","article-title":"Okapi at TREC","author":"robertson","year":"1995","journal-title":"NIST SPECIAL PUBLICATION SP"},{"key":"ref21","volume":"463","author":"baeza-yates","year":"1999","journal-title":"Modern Information Retrieval"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1007\/11776420_44"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1145\/383952.384019"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1145\/1102351.1102363","article-title":"Learning to rank using gradient","author":"burges","year":"2005","journal-title":"Proceedings of the 22nd International Conference on Machine Learning"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1145\/1390156.1390306"}],"event":{"name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2015,11,9]]},"location":"Washington, DC, USA","end":{"date-parts":[[2015,11,12]]}},"container-title":["2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7350074\/7359638\/07359729.pdf?arnumber=7359729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,29]],"date-time":"2022-05-29T17:37:50Z","timestamp":1653845870000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7359729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/bibm.2015.7359729","relation":{},"subject":[],"published":{"date-parts":[[2015,11]]}}}