讲座时间: 2018年11月28日（周三）下午14:45

讲座地点: 沙河东校区学院7号楼215

主 讲 人: 吴书

报告主题：基于深度表示学习的用户建模

演讲人简介：Shu Wu received the BS degree from Hunan University, China, in 2004, the MS degree from Xiamen University, China, in 2007, and the PhD degree from the Department of Computer Science, University of Sherbrooke, Quebec, Canada, all in computer science. He is an associate professor in the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA). He has published more than 40 papers at international journals and conferences, such as the IEEE Transactions on Knowledge and Data Engineering, the IEEE Transactions on Human-Machine Systems, WWW, AAAI, IJCAI, ICDM, SIGIR, and CIKM. His research interests include data mining and recommendation systems.

报告内容： Recently, with the growth of Internet, online platforms such as social media and online shopping website are getting more and more popular. People can access to what they like and need on these websites. Understanding user interest and behavior, analyzing user data, and conducting research on user modeling has great practical meaning. Such research can promote the application of personalized recommendation, online advertising, and abnormal detection and so on. Currently, deep representation learning has succeeded in areas such as image and video processing, and we provide solutions for several key problems of user modeling in this talk. These solutions are context-aware representations of users and items in context-aware recommender systems, sequential user behavior prediction based on recurrent neural networks and graph neural networks, compatibility and recommendation based on visual features, misinformation detection methods based on the attention mechanism and CNN.

该学术讲座由“威斯尼斯人专题学术讲座项目”资助。

[编辑]：孙颖