RT Journal Article
T1 Identifying recommendation opportunities for computer-supported collaborative environments
A1 Lobo, Jesus L.
A1 Santos, Olga C.
A1 Boticario, Jesus G.
A1 Del Ser, Javier
AB 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.
SN 0266-4720
YR 2016
FD 2016-10-01
LK https://hdl.handle.net/11556/3287
UL https://hdl.handle.net/11556/3287
LA eng
NO Lobo , 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
NO Publisher Copyright: © 2016 Wiley Publishing Ltd
DS TECNALIA Publications
RD 31 jul 2024