• 学术动态

10月9日博士生大数据分析与挖掘专题报告: 美国俄亥俄州立大学孙建凯博士学术报告预告
作者:cwj 发布日期:2018-10-08 浏览次数:

报告时间:10914:00

报告地点:计算机新大楼C418

报告题目:Directed graph analysis: Algorithms and Applications

主 讲 人 :Jiankai Sun

内容简介:

Many real-world problems can be modeled as directed graphs. We mainly focus on how to leverage the directed graph hierarchy to solve some real problems in this talk. Particularly, I will address the problem of breaking cycles while preserving the logical structure (hierarchy) of a directed graph as much as possible. Then I will show how to leverage graph hierarchy to solve a real problem in Community Question Answering services (CQAs) -- routing questions to users with matching expertise based on question difficulty level in Stack Overflow and Yahoo! Answers. I will also talk about how to solve the cold-start problem in CQAs, which is a very challenging problem in CQAs and as well as many other areas such as recommender systems.

主讲人简介:

      Jiankai Sun, Ph.D.from the Ohio State University. His advisor is Prof. Srinivasan Parthasarathy. His research interests are mainly about data mining and machine learning, such as graph embedding, personalized recommendations, and question routing in community question answering services. He previously did his internship at Twitter (Software Engineer, 2018), Pacific Northwest National Laboratory (Research Scientist, 2017), Bell Labs (Research Scientist, 2016), Tencent (Software Engineer, 2014) and Huawei (Research Scientist, 2014). His work has been published to many high-quality conferences and journals such as WWW, CIKM, ECML PKDD, SDM, ICWSM, ACM TIST and WebSci.