一种社交网络中的个体间推荐信任度计算方法

摘要

推荐是社交网络中人们分享传递信息的重要途径.本文针对信息推荐所带来的可靠性评估难题,给出一种推荐信任度计算方法.首先给出社交网络(Social nework site,SNS)个体之间主观信任和个体自身客观信誉的计算方法,继而从3个方面给出SNS中推荐信任的定义以及计算方法:复杂路径组成的推荐信任计算方法、推荐的客观符合度、以及推荐的可选择程度.最后给出SNS推荐信任计算架构(SNS recommended trust computation framework,SRTCF)以及其示例和实验分析.%Nowadays,recommendation has been one of the most important ways for information sharing and transmitting in social network site (SNS).A recommended trust computation method is addressed to confirm reliabilities of recommendations among users.Firstly,computation methods of trust values are defined as belief and reputation to represent subjective trustable relationship among users and objective creditable view of users in SNS.Then,recommended trust computation method is presented based on the above mentioned two kinds of trusts.Recommended trust computation is divided into three aspects:recommended trust computation with different route composition,recommendation objective coincidence and recommendation optional degree.Further,SNS recommended trust computation framework (SRTCF) is proposed.Finally,an example and examinations are given to explain the efficiency and feasibility of our mechanism.