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The Scientific World Journal
Volume 2014 (2014), Article ID 349065, 8 pages
Research Article

Social Network Supported Process Recommender System

1College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
2College of Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China

Received 22 October 2013; Accepted 25 November 2013; Published 15 January 2014

Academic Editors: W. Sun and J. Zhou

Copyright © 2014 Yanming Ye et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.