Please use this identifier to cite or link to this item: http://41.63.8.17:80/jspui/handle/123456789/170
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMuwanei, Sinyinda-
dc.contributor.authorLam, Hoo Wai-
dc.contributor.authorKunda, Douglas-
dc.date.accessioned2023-08-14T10:08:33Z-
dc.date.available2023-08-14T10:08:33Z-
dc.date.issued2019-07-
dc.identifier.citationIEEE Styleen_US
dc.identifier.urihttp://41.63.8.17:80/jspui/handle/123456789/170-
dc.descriptionConferenceen_US
dc.description.abstractBandit algorithms have been widely used in many application areas including information retrieval evaluation and ranking. This is largely due to their exceptional performance. The aim of this study is to examine the overall published studies in terms of trends that shape the use of bandit algorithms in the evaluation and ranking of information retrieval systems. This study also seeks to classify the bandit algorithms used in the research domain. In totality the evaluation metrics, datasets, contribution facets of primary studies as well as the bandit categories are discussed.en_US
dc.description.sponsorshipUniversity Malaya, Malaysia & Mulungushi University, Zambiaen_US
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.titleBandit algorithms in information retrieval evaluation and rankingen_US
dc.typeWorking Paperen_US
Appears in Collections:Research Papers and Journal Articles

Files in This Item:
File Description SizeFormat 
Bandit algorithms in information retrieval evaluation and ranking.pdf489.56 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.