Ranked Set Search in Medline Documents
| dc.contributor.author | Mittag, Kristin | |
| dc.contributor.author | Hinneburg, Alexander | |
| dc.contributor.editor | Fähnrich, Klaus-Peter | |
| dc.contributor.editor | Franczyk, Bogdan | |
| dc.date.accessioned | 2019-01-11T10:29:13Z | |
| dc.date.available | 2019-01-11T10:29:13Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | Information needs like searching scientific literature that involve high recall rates are difficult to satisfy with ad hoc keyword search. We propose to state queries implicitly by the specification of a set of query documents. The result of such a query is a set of answer documents that are ranked within the answer set. We describe efficient techniques to process such queries. Preliminary experiments using data from the TREC Genomics track 2005 are reported. | en |
| dc.identifier.isbn | 978-3-88579-270-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19318 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-176 | |
| dc.title | Ranked Set Search in Medline Documents | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 763 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 758 | |
| gi.conference.date | 27.09.-01.10.2010 | |
| gi.conference.location | Leipzig | |
| gi.conference.sessiontitle | Regular Research Papers |
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