title: Social network supported process recommender system.
abstract: Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.
authors.affiliation: College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China ; College of Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
authors.forename: Yanming
authors.initials: Y
authors.lastname: Ye
authors.affiliation: College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.
authors.forename: Jianwei
authors.initials: J
authors.lastname: Yin
authors.affiliation: College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.
authors.forename: Yueshen
authors.initials: Y
authors.lastname: Xu
mesh_terms: D020342:Finite Element Analysis; D012944:Social Support