Identifying recommendation opportunities for computer‐supported collaborative environments. Issue 5 (8th July 2016)

• Record Type: Journal Article
• Authors: Lobo, Jesus L.; Santos, Olga C.; Boticario, Jesus G.; Del Ser, Javier
• Is Part Of: Expert systems. Volume 33:Issue 5(2016)
• Page Start: 463
• Page End: 479
• Publication Date: 2016-07-08
• Subjects: asynchronous interaction -- collaborative systems -- computer‐supported collaborative work -- data mining; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12159
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: Collaborative 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.