面向智能互联网络的实体信任关系理论研究

Nowadays, the prototype of Intelligent Internet which is characterized by high interconnection and intelligence has formed. However, with the increasing development and extension of Intelligent Internet in the social and economic areas, the trust issues have become a key factor that obstacles the development of Intelligent Internet. Based on the research status of the Internet trust models and data mining in Big Data, this project conducts the research on the entity trust relationship theory oriented to Intelligent Internet. The main contents include: (1) the research on the entity trust mechanisms and polymorphic trust establishment patterns on the basis of a deep analysis to the new features of the Intelligent Internet environment; (2) the research on the entity trust relationship inference methods oriented to Intelligent Internet in the scenario of heterogeneous information sources and trust relationship dynamically evolving; (3) the research on the entity trust relationship mining methods oriented to Intelligent Internet based on the Big Data resources of social network and Electronic commerce platforms; (4) the research on the recommendation methods based on entity trust relationship inference and trust relationship mining, considering the entity interaction characteristics and trust requirements features. Besides, this project will conduct the research through the means of empirical study and application cases analysis to apply the research results into the business and social services application processes of Intelligent Internet.

目前，高度互联化、智能化的智能互联网络雏形已然形成。而伴随着智能互联网络在社会经济领域的不断纵深和延展，信任问题将成为桎梏智能互联网络发展的重要因素。本项目依据现有互联网信任模型和大数据挖掘的研究现状，展开面向智能互联网络的实体信任关系理论研究。主要研究内容包括：（1）在深入分析智能互联网络环境新特性的基础上，研究面向智能互联网络的实体信任机理和多态化的信任构建模式；（2）在信息源异构、信任关系动态演变的情形下，研究面向智能互联网络的实体信任关系推理方法；（3）基于社交网络和电子商务平台大数据资源，研究面向智能互联网络的实体信任关系挖掘方法；（4）考虑智能互联网环境中实体交互行为特征和信任需求特性，研究基于实体信任关系推理和挖掘的推荐算法。此外，本项目将结合实际互联网应用平台，通过实证和应用案例分析方法展开以上研究，将上述理论研究成果应用于智能互联网络的商业和社会化服务应用过程中。

本项目以我国典型社交网络平台和医疗健康信息交互平台为研究背景，通过探索面向智能互联网络的实体信任关系的新特征，构建多层次多角度的实体信任属性框架。在此基础上，进一步丰富和完善面向智能互联网络的信任关系推理方法，并将大数据挖掘技术和方法应用于智能互联网络的实体信任关系研究，充分利用各平台显性的信任评价信息和隐性的社会关系信息，进一步融合并改进基于实体信任关系推理的推荐方法，提高推荐结果的覆盖率和准确率。从而最终构建出一套完备而系统的面向智能互联网络的实体信任关系理论体系，并在医疗、制造等领域实现了具体应用。具体研究内容包括：1.在深入分析智能互联网络环境新特性的基础上，研究了面向智能互联网络的实体信任关系构建内在机理和影响因素；2. 在信息源异构、信任关系动态演变的情形下，研究面向智能互联网络的实体信任关系推理方法；3. 基于社交网络和电子商务平台大数据资源，研究基于实体信任关系的服务推荐方法;4. 结合医疗和制造等具体应用领域，研究基于实体企业信任关系的博弈方法和服务资源调度问题。项目研究过程中，在Omega, Annals of Operations Research等国内外学术期刊上正式或在线发表SCI 期刊论文 24篇，授权专利17项，已进入实审专利 9项。正在培养博士生2名，硕士生5名。