基于可信推荐的服务质量评估模型

由于网络用户多样性和利益诉求的复杂性,部分用户发布的QoS数据不完全可信,以致影响了QoS评估的精度,为此提出基于可信推荐的QoS评估模型TR-SQE。该模型以用户推荐的与众不同程度作为其推荐信任度,隔离推荐信任度低于阈值的用户发布的QoS数据;TR-SQE将修正过的QOS信息作为推荐数据,接着根据用户与推荐者的偏好相似性来评估服务质量。分析和仿真结果表明,TR-SQE的平均绝对偏差MAE较其他方法小,评估结果与真实的服务质量基本相符,TR-SQE有助于用户的服务选择。

Service quality evaluation model based on trusted recommendation

Due to the diversity of Web users and their complex personal demands, Quality of Service (QoS) information released by some users is not completely reliable, which affects the accuracy of the evaluation on service quality. To address this problem, a service quality evaluation model based on Credible Recommendation (TR-SQE) was presented. In TR-SQE, recommendation trust for the user was defined as the degree of similarity between user's recommendation data and user group's accumulated recommendation data. QoS data released by the user whose recommendations trust was lower than threshold were shielded. By using such correctional QoS information as recommendation data of service quality, then the user, according to the degree of similarity with recommended preference, evaluated service quality. Analysis and simulation results demonstrate that evaluation results from TR-SQE are basically consistent with the real quality of service, which has smaller MAE compared with the contrast methods, and it is helpful to the user's service selection.