Abstract: Social network services (SNSs) have attracted much attention on the Web recently. In this talk, I will introduce our academic search system ArnetMiner, which is available at http://www.arnetminer.org. Specifically,the system focuses on: 1) Extracting researcher profiles automatically from the Web; 2) Integrating the publication data into the network from existing digital libraries; 3) Modeling the entire academic network; and 4) Providing search services for the academic network. So far, 448,470 researcher profiles have been extracted using a unified tagging approach. We integrate publications from online Web databases and propose a probabilistic framework to deal with the name ambiguity problem. Furthermore, we propose a unified modeling approach to simultaneously model topical aspects of papers,authors, and publication venues. Search services such as expertise search and people association search have been provided based on the modeling results. The system has been in operation on the internet for more than two years. System logs show that users of the system cover more than 180 countries. Averagely, the system receives about 2,000 visits of independent IP address per day. The number of visits continuously increases by +20% per month.

Bio: Jie Tang is an assistant professor at the Department of Computer Science and Technology, Tsinghua University. His main research interests include social network mining, text mining, statistical learning, and semantic web. He has published over 60 research papers in major international journals and conferences including: KDD, IJCAI, SIGMOD, ACL,ISWC, TKDE, JWS and JoDS. He is the principal investigator of National High-tech R&D Program (863) Program, NSFC project, Chinese Young Faculty Research Funding, National 985 funding, several international collaborative projects with Minnesota University, IBM, Google, Nokai, ExxonMobil, Sogou,etc. He serves as co-chair of Workshop SWSM'08-09, LDM-TA'09, FDM'09, and also serves as the PC member of more than 40 international conferences. He serves as the editor of Journal of Software and Journal of Advances in Information Technology, the guest editor of TKDD special issue on large-scale data mining, and reviewers of a dozens of journals such as TKDE,TKDD, Machine Learning Journal, PRL, and TALIP.

HP: http://keg.cs.tsinghua.edu.cn/persons/tj/s