报告题目：Learning-based Trust Prediction
报 告 人：刘冠峰 教授
报告时间：2025年9月9日15：00
报告地点：阅江楼350-351
主 持 人：许小龙 教授
报告人简介：
刘冠峰，麦考瑞大学教授，博导，南师大-麦考瑞联合学院澳方院长。主要从事社交网络可信计算研究。基于社交网络中复杂社会信息和社会心理学理论，首次提出了高精准的信任评价和信任路径建立模型，并提出了大规模海量动态社交网络中高效的信任网络挖掘与查询算法。该系列算法和模型可以准确快速的对于社交网络中用户进行信任建模，建立完整丰富并可动态更新的信任档案，挖掘和推荐信任网络。研究成果在 IEEE Trans. ACM Trans. SIGIR, AAAI, IJCAI, WWW, KDD 等高水平学术期刊以及学术会议发表论文超过 200 篇。获得最佳论文奖励 6 次。
报告简介：
In recent years, social networking sites have been used as a means for a rich variety of activities, such as movie recommendations and product recommendations. In these activities, trust is one of the most important factors for participants’ decision-making. However, in OSNs, most participants are unknown with each other. Therefore, it is necessary and significant to evaluate the trust between two participants who have no direct interaction. This talk will first introduce a global picture of the studies of data-intensive trust management in online social networks, and then introduce complex trust-oriented social network structure, and a set of solutions in the trust relation predictions and trust network extractions.
软件学院
2025年9月8日
