Combining Global and Local Trust for Service Recommendation

被引:17
作者
Tang, Mingdong [1 ]
Xu, Yu [1 ]
Liu, Jianxun [1 ]
Zheng, Zibin [2 ]
Liu, Xiaoqing [3 ]
机构
[1] Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan, Peoples R China
[2] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Hong Kong, Peoples R China
[3] Missouri Univ Sci & Technol, Dept Comp Sci, Rolla, MO USA
来源
2014 IEEE 21ST INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2014) | 2014年
关键词
service recommendation; trust; reputation; service-oriented environment; social networks;
D O I
10.1109/ICWS.2014.52
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:305 / 312
页数:8
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