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Knowledge retention through observation of instant messaging systems

dc.contributor.authorCosta, João
dc.contributor.authorP. Duarte, Rui
dc.contributor.authorCunha, Carlos
dc.contributor.authorHenriques, João
dc.date.accessioned2024-10-14T15:00:23Z
dc.date.available2024-10-14T15:00:23Z
dc.date.issued2019-11-29
dc.date.updated2024-09-22T13:39:32Z
dc.description.abstractKnowledge is the most valuable asset in today’s organizations. Since it offers an unbeatable competitive advantage, valuable knowledge demands strict management principles to avoid being lost. Instant messengers provide an opportunity to gather knowledge passed through individuals in the organization. By modeling that knowledge using machine learning techniques, it becomes possible to retain and make it ubiquitous throughout the organization. This paper presents a solution for gathering, modeling, and retrieving knowledge associated with the technical support in organizations, using machine learning algorithms. The solution comprises the architecture, data preparation techniques and machine learning algorithms. The experimental evaluation exhibits the algorithms with better performance for this class of problems.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJoão Costa, Carlos Cunha, Rui P. Duarte, and João Menoita. 2019. Knowledge Retention Through Observation of Instant Messaging Systems. In 23rd PanHellenic Conference on Informatics (PCI ’19), November 28–30, 2019, Nicosia, Cyprus. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3368640. 3368656pt_PT
dc.identifier.doi10.1145/3368640.3368656pt_PT
dc.identifier.eid2-s2.0-85076829483
dc.identifier.isbn9781450372923
dc.identifier.slugcv-prod-952460
dc.identifier.urihttp://hdl.handle.net/10400.19/8586
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherACM Presspt_PT
dc.subjectknowledge managementpt_PT
dc.subjectbotspt_PT
dc.subjectmachine learningpt_PT
dc.titleKnowledge retention through observation of instant messaging systemspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage30pt_PT
oaire.citation.startPage28pt_PT
oaire.citation.title23rd PanHellenic Conference on Informatics (PCI ’19), November 28–30, 2019pt_PT
person.familyNameMonteiro Amaro Duarte
person.familyNameCunha
person.familyNameMenoita Henriques
person.givenNameRui Pedro
person.givenNameCarlos
person.givenNameJoão Pedro
person.identifiergIYE8M4AAAAJ
person.identifier2081924
person.identifierhttps://scholar.google.pt/citations?user=AExQrJwAAAAJ
person.identifier.ciencia-id211F-55A0-4B63
person.identifier.ciencia-idD71F-FC65-1F07
person.identifier.ciencia-idBB15-BFE2-17AA
person.identifier.orcid0000-0002-6819-0985
person.identifier.orcid0000-0002-2754-5401
person.identifier.orcid0000-0001-7380-9511
person.identifier.scopus-author-id14059938600
person.identifier.scopus-author-id39361170900
rcaap.cv.cienciaid211F-55A0-4B63 | Rui Pedro Monteiro Amaro Duarte
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd56c3162-80a4-4ade-810d-43bae4ee6d73
relation.isAuthorOfPublication384f50cd-9e87-40bd-b610-58008e05bec1
relation.isAuthorOfPublication9b3258cd-a3d1-46f9-bc04-2bdd99d87014
relation.isAuthorOfPublication.latestForDiscoveryd56c3162-80a4-4ade-810d-43bae4ee6d73

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