To determine trust relationship of unknown entities,many recommendation trust models are presented based on different uncertainty inference rules. These models focus on resolving the propagation and combination of recommend trust.
为确定大量未知实体的信任关系，出现了基于不同方法的推荐信任模型，其关键在于如何解决推荐信任的传播与合成。
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为解决推荐信任传递问题，提出了信任向量的定义；
To resolve these problems , a definition of trust vector is presented in this paper.
最后给出了该方案的应用实例，用于表达分布式网络环境中基于直接信任和推荐信任的计算模型。
At last, an example is described about trust inferring and policy between direct trust and recommend trust.
论文详细讨论了这些信任因素的获取和计算方法及综合直接信任值与推荐信任值的置信因子的确定方法。
To compute the trust value of a user, the concept of belief factor is introduced to integrate the direct reputation with the recommend reputation.
应用推荐