Abstract 1. Introduction 2. Related works 3. Problem definition 4. Proposed model to discover trust path 4.1 Definition of states and actions 4.2 Learning algorithm 4.3 Evaluation of RL-based trust inference algorithm 5. Empirical study 5.1 Dataset 5.2. Comparison of prediction accuracy 5.3. A combination strategy of min-maxand weighted mean aggregation 6. Conclusion References
키워드
Trust Propagation; Social Network; Reinforcement Learning; Trust Path; Level of Trust
저자
Hee Seok Song [ Department of MIS, Hannam University ]
Young Ae Kim [ Department of CSE, University of Minnesota ]