Trust-Based Personalized Service Recommendation: A Network Perspective
Trust-Based Personalized Service Recommendation: A Network Perspective
复制标题
基于信任的个性化服务推荐：网络视角
DOI：
10.1007/s11390-014-1412-2
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发表时间：
2014-01-01
影响因子：
1.9
通讯作者：
Wu, Zhao-Hui
中科院分区：
文献类型：
--
作者：
Deng, Shui-Guang;Huang, Long-Tao;Wu, Zhao-Hui
近年来，Internet上的Web服务呈增长趋势。迫切需要有效的服务推荐机制。现有方法主要关注单个Web服务的属性（例如，功能属性和非功能属性），但很大程度上忽略了用户对服务的看法，因此无法提供个性化的服务推荐。在本文中，我们使用网络建模和分析技术来研究用户和Web服务之间的信任关系。基于研究结果和构建的服务网络模型，提出了一种基于信任的服务推荐（TSR）协同过滤算法来提供个性化的服务推荐。这种用于服务网络建模和分析的系统方法也可用于其他服务推荐研究。
Recent years have witnessed a growing trend of Web services on the Internet. There is a great need of effective service recommendation mechanisms. Existing methods mainly focus on the properties of individual Web services (e.g., functional and non-functional properties) but largely ignore users’ views on services, thus failing to provide personalized service recommendations. In this paper, we study the trust relationships between users and Web services using network modeling and analysis techniques. Based on the findings and the service network model we build, we then propose a collaborative filtering algorithm called Trust-Based Service Recommendation (TSR) to provide personalized service recommendations. This systematic approach for service network modeling and analysis can also be used for other service recommendation studies.