计算机应用 ›› 2015, Vol. 35 ›› Issue (10): 2872-2876.DOI: 10.11772/j.issn.1001-9081.2015.10.2872

• 信息安全 • 上一篇    下一篇

基于可信推荐的服务质量评估模型

周国强1, 杨锡慧2, 刘洪舫1   

  1. 1. 南京邮电大学 计算机学院, 南京 210003;
    2. 中国电信股份有限公司 南京分公司, 南京 210008
  • 收稿日期:2015-03-17 修回日期:2015-07-03 出版日期:2015-10-10 发布日期:2015-10-14
  • 通讯作者: 周国强(1968-),男,湖北大冶人,副教授,博士,CCF会员,主要研究方向:信息安全、可信计算、社会网络,zhougq@njupt.edu.cn
  • 作者简介:杨锡慧(1974-),女,安徽凤阳人,高级工程师,硕士,主要研究方向:计算机网络、网络监控与维护;刘洪舫(1990-),男,江苏淮阴人,硕士研究生,主要研究方向:社会网络、推荐系统。
  • 基金资助:
    国家自然科学基金资助项目(61300054)。

Service quality evaluation model based on trusted recommendation

ZHOU Guoqiang1, YANG Xihui2, LIU Hongfang1   

  1. 1. College of Computer Science, Nanjing University of Posts and Telecommunication, Nanjing Jiangsu 21003, China;
    2. China Telecom Corporation Limited, Nanjing Branch, Nanjing Jiangsu 21008, China
  • Received:2015-03-17 Revised:2015-07-03 Online:2015-10-10 Published:2015-10-14

摘要: 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。

关键词: 服务质量, 可信推荐, 评估模型

Abstract: 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.

Key words: Quality of Service (QoS), credible recommendation, evaluation model

中图分类号: