提出一种基于信任机制的协同过滤推荐算法，其中，直接信任度基于共同评价项目得出，推荐信任度通过对项目的预测得出。
This paper proposes a collaborative filtering recommendation algorithm based on trust mechanism. Direct trust is based on common rating data and indirect trust is based on the predict data.
在网络上线上和线下相配合，网络带来直接流量，线下是带来用户对于一个品牌的认知度和信任感。
Go up in the line on the network and close suitably below the line, the network brings immediate flow, it is to bring an user to spend and trust to the acknowledge of a brand below the line feeling.
信任度也是一种情感因素，并直接影响过滤网的厚度，应被视为除动机、自信、焦虑外的第四种重要因素。
Trust is also an affective factor which works directly on the thickness of the filter, so it should be regarded as the forth important factor in addition to motivation, confidence and anxiety.
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