A Trustworthy Service Selection Model Based on Collaborative Filtering
Wang Hai-yan①② Zhang Da-yin②
①(School of Computer Science and Engineering, Southeast University, Nanjing 211189, China) ②(School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
Abstract：Current Quality of Service (QoS)-based service selection approaches pay little attention to personal properties and characteristics of service requesters. However, Collaborative Filtering (CF)-based service selection approaches fail to consider the trustworthiness of recommenders and can not resist malicious feedback from recommenders. This paper introduces user correlation to embody the impact of personal characteristics of service requesters on selection process, computes creditability of recommendation, and employs analytic hierarchy process to decide the weight of each factor in service reputation. With the integration of trust evaluation methods and CF techniques, a Trustworthy Services Selection Model based on Collaborative Filtering (TSSMCF) is presented. Simulation experiments demonstrate that TSSMCF model can not only improve the efficiency of service selection but also effectively avoid malicious attack from service recommenders.
王海艳, 张大印. 一种可信的基于协同过滤的服务选择模型[J]. 电子与信息学报, 2013, 35(2): 349-354.
Wang Hai-Yan, Zhang Da-Yin. A Trustworthy Service Selection Model Based on Collaborative Filtering. , 2013, 35(2): 349-354.
2013, Vol. 35 
