Paper Info
Title
Combining Global and Local Trust for Service Recommendation
Abstract
Recommending trusted services to users is of paramount value in service-oriented environments. Reputation has been widely used to measure the trustworthiness of services, and various reputation models for service recommendation have been proposed. Reputation is basically a global trust score obtained by aggregating trust from a community of users, which could be conflicting with an individual's personal opinion on the service. Evaluating a service's trustworthiness locally based on the evaluating user's own or his/her friends' experiences is sometimes more accurate. However, local trust assessment may fail to work when no trust path from an evaluating user to a target service exists. This paper proposes a hybrid trust-aware service recommendation method for service-oriented environment with social networks via combining global trust and local trust evaluation. A global trust metric and a local trust metric are firstly presented, and then a strategy for combining them to predict the final trust of service is proposed. To evaluate the proposed method's performance, we conducted several simulations based on a synthesized dataset. The simulation results show that our proposed method outperforms the other methods in service recommendation.
Year
DOI
Venue
2014
10.1109/ICWS.2014.52
ICWS
Keywords
DocType
Citations 
reputation,trusted services,trust,social networks,trusted computing,service recommendation, trust, reputation, service-oriented environment, social networks,service recommendation,service-oriented environments,local trust assessment,service-oriented architecture,service-oriented environment,service trustworthiness,global trust,social networking (online),hybrid trust-aware service recommendation method,web services
Conference
2
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Tang Mingdong155739.35
Yu Xu250.81
Jianxun Liu3585.07
Zibin Zheng43731199.37
Xiaoqing Frank Liu513916.55