摘要
信任是人类社会的基础,在科技、商业、日常生活等领域发挥着重要作用,一个健全的社会离不开信任。在研究现有信任模型缺陷的基础上,结合现实生活中的各种信任场景,提出了网络环境下的个性化信任模型。该信任模型能够针对不同实体识别出不同的信任意义,在特定的上下文环境中能为用户推荐满足其条件的所有信任路径,具有更好的动态适应性和上下文环境相关性。实验结果表明,该模型可有效提高信任模型的准确率。
Trust is the foundation of human society,and plays an important role in the fields of science,technology,business,daily life and so on.A healthy society cannot keep well without trust.On the basis of studying the defects of the existing trust models and combining with all kinds of trust situations in the real life,apersonalized trust model in network environment was proposed.This trust model can identify different trust meanings for various entities,and can recommend all trust paths for users which meet the whole conditions in specific context environment.Because of the better dynamic adaptability and context correlation,the model can effectively improve the accuracy of trust model,which is demonstrated by the experimental results.
作者
廖新考
王力生
刘晓建
许晓洁
LIAO Xin-kao WANG Li-sheng LIU Xiao-jian XU Xiao-jie(College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)
出处
《计算机科学》
CSCD
北大核心
2017年第8期100-106,共7页
Computer Science
基金
国家高技术研究发展计划(863计划)(2013AA040302)资助
关键词
个性化
信任模型
动态适应性
Personalized
Trust model
Dynamic adaptability