Lobo, Jesus L.Santos, Olga C.Boticario, Jesus G.Del Ser, Javier2024-07-242024-07-242016-10-01Lobo , 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.121590266-4720https://hdl.handle.net/11556/3287Publisher Copyright: © 2016 Wiley Publishing LtdCollaborative 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.17enginfo:eu-repo/semantics/restrictedAccessjournal article10.1111/exsy.12159asynchronous interactioncollaborative systemscomputer-supported collaborative workdata miningControl and Systems EngineeringTheoretical Computer ScienceComputational Theory and MathematicsArtificial Intelligencehttp://www.scopus.com/inward/record.url?scp=84978230419&partnerID=8YFLogxK