Merging algorithms for enterprise search

Simple item page
dc.contributor.authorLi, PengFei (Vincent)
dc.contributor.authorThomas, Paul
dc.contributor.authorHawking, David
dc.coverage.spatialBrisbane Australia
dc.date.accessioned2015-12-10T23:22:30Z
dc.date.createdDecember 5-6 2013
dc.date.issued2013
dc.date.updated2015-12-10T10:31:20Z
dc.description.abstractEffective enterprise search must draw on a number of sources-for example web pages, telephone directories, and databases. Doing this means we need a way to make a single sorted list from results of very different types. Many merging algorithms have been p
dc.identifier.isbn0975717200
dc.identifier.urihttp://hdl.handle.net/1885/66539
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.ispartofseries18th Australasian Document Computing Symposium ADCS '13
dc.sourceCrisis Management Knowledge from Social Media
dc.titleMerging algorithms for enterprise search
dc.typeConference paper
local.bibliographicCitation.lastpage8
local.bibliographicCitation.startpage1
local.contributor.affiliationLi, PengFei (Vincent), College of Engineering and Computer Science, ANU
local.contributor.affiliationThomas, Paul, College of Engineering and Computer Science, ANU
local.contributor.affiliationHawking, David, College of Engineering and Computer Science, ANU
local.contributor.authoruidLi, PengFei (Vincent), u4959060
local.contributor.authoruidThomas, Paul, u4161360
local.contributor.authoruidHawking, David, a109750
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080201 - Analysis of Algorithms and Complexity
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1301
local.identifier.doi10.1145/2537734.2537750
local.identifier.scopusID2-s2.0-84892766686
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Li_Merging_algorithms_for_2013.pdf
Size:
522.23 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS