Consensus-based evaluation framework for distributed information retrieval systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Jason J. | - |
dc.date.available | 2020-03-27T07:55:09Z | - |
dc.date.issued | 2009-02 | - |
dc.identifier.issn | 0219-1377 | - |
dc.identifier.issn | 0219-3116 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37775 | - |
dc.description.abstract | Multi-agent systems have been attacking the challenges of information retrieval tasks on distributed environment. In this paper, we propose a consensus choice selection method based framework to evaluate the performance of cooperative information retrieval tasks of the multiple agents. Thereby, two well-known measurements, precision and recall, are extended to handle consensual closeness (i.e., local and global consensus) between the sets of retrieved results. We show that in a motivating example the proposed criteria are prone to solve the rigidity problem of classical precision and recall. More importantly, the retrieved results can be ranked with respect to the consensual score, and the ranking mechanism has been verified to be more reasonable. | - |
dc.format.extent | 13 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER LONDON LTD | - |
dc.title | Consensus-based evaluation framework for distributed information retrieval systems | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s10115-008-0153-3 | - |
dc.identifier.bibliographicCitation | KNOWLEDGE AND INFORMATION SYSTEMS, v.18, no.2, pp 199 - 211 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000263115700005 | - |
dc.identifier.scopusid | 2-s2.0-59849104278 | - |
dc.citation.endPage | 211 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 199 | - |
dc.citation.title | KNOWLEDGE AND INFORMATION SYSTEMS | - |
dc.citation.volume | 18 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | Information retrieval | - |
dc.subject.keywordAuthor | Multi-agent systems | - |
dc.subject.keywordAuthor | Evaluation | - |
dc.subject.keywordPlus | PRECISION | - |
dc.subject.keywordPlus | INTERNET | - |
dc.subject.keywordPlus | RECALL | - |
dc.subject.keywordPlus | WEB | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.