Identifying recommendation opportunities for computer-supported collaborative environments

Simple item page
dc.contributor.authorLobo, Jesus L.
dc.contributor.authorSantos, Olga C.
dc.contributor.authorBoticario, Jesus G.
dc.contributor.authorDel Ser, Javier
dc.contributor.institutionIA
dc.date.accessioned2024-07-24T12:02:50Z
dc.date.available2024-07-24T12:02:50Z
dc.date.issued2016-10-01
dc.descriptionPublisher Copyright: © 2016 Wiley Publishing Ltd
dc.description.abstractCollaborative indicators derived from participants' interactions can be used to support and improve their collaborative behaviour. In this research, we focus on automatically identifying recommendation opportunities in the Collaborative Logical Framework from participants' interactions. Different information sources have been considered: (a) statistical collaborative indicators; (b) social interactions; (c) opinions received by the participants via ratings; and (d) users' affective state and personality. The recommendations have been elicited considering the generality and transferability of the participants' interactions provided by the Collaborative Logical Framework. As a result, three scenarios have been identified that lead us to propose meaningful grouping suggestions and recommendations, which ultimately aimed to ground an informed personalized support to the participants in intensive collaborative frameworks.en
dc.description.statusPeer reviewed
dc.format.extent17
dc.identifier.citationLobo , J L , Santos , O C , Boticario , J G & Del Ser , J 2016 , ' Identifying recommendation opportunities for computer-supported collaborative environments ' , Expert Systems , vol. 33 , no. 5 , pp. 463-479 . https://doi.org/10.1111/exsy.12159
dc.identifier.doi10.1111/exsy.12159
dc.identifier.issn0266-4720
dc.identifier.urihttps://hdl.handle.net/11556/3287
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84978230419&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofExpert Systems
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsasynchronous interaction
dc.subject.keywordscollaborative systems
dc.subject.keywordscomputer-supported collaborative work
dc.subject.keywordsdata mining
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsTheoretical Computer Science
dc.subject.keywordsComputational Theory and Mathematics
dc.subject.keywordsArtificial Intelligence
dc.titleIdentifying recommendation opportunities for computer-supported collaborative environmentsen
dc.typejournal article
Files