“Workshop on Introduction to Social Computing.” on 19 – 23 June 2017

We would like to invite you to attend The Special Lecture Series 2017, 

“Workshop on Introduction to Social Computing.”

By 

Prof. Dr. Irwin King

Department of Computer Science & Engineering

The Chinese University of Hong Kong, Hong Kong

 

on 19 – 23 June 2017

At Training Room No.1/5, the 1st floor, 

School of Information Technology, KMUTT, Bangmod, Bangkok.

If you are interested in this workshop, please reserve a seat at https://docs.google.com/forms/d/e/1FAIpQLSdqZtAh58hkxI4DuI4b698uTOI_vLTP...

 

There is detail of this workshop:

Monday, June 19

08.30 am - 09.00 am : Registration

09.00 am - 12.00 pm : Lecture: Introduction to Social Computing

01.00 pm - 02.00 pm : Tutorial: Crawler

 

Tuesday, June 20

08.30 am - 09.00 am : Registration

09.00 am - 12.00 pm : Lecture: Graphs

01.00 pm - 02.00 pm : Tutorial: NetworkX I

 

Wednesday, June 21

08.30 am - 09.00 am : Registration

09.00 am - 12.00 pm : Lecture: Social Network Theory

01.00 pm - 02.00 pm : Tutorial: NetworkX II

 

Thursday, June 22

08.30 am - 09.00 am : Registration

09.00 am - 12.00 pm : Lecture: Recommender System I 

01.00 pm - 02.00 pm : Tutorial: Graphviz & Mathematica 

 

Friday, June 23

08.30 am - 09.00 am : Registration

09.00 am - 12.00 pm : Lecture: Recommender System II 

01.00 pm - 02.00 pm : Tutorial: Recommender System in Practice 

Abstract:  Introduction to Social Computing

Social Computing involves the collecting, extracting, accessing, processing, computing, visualizing, etc. of social signals and information. More specifically, this workshop places special emphases in machine learning, data mining, information retrieval, and other computational techniques involved in collective intelligence processing of social behavior data collected from blogs, wikis, clickthrough data, query

logs, tags, etc., and from areas such as social networks, social search, social media, social bookmarks, social news, social knowledge sharing, and social games. In this workshop, I plan to give an introduction to Social Computing and elaborate on how the various characteristics and aspects are involved in the social platforms for collective intelligence. The topics include, but not limited to social network theory and modeling, graph mining, query log processing, learning to rank, recommender systems, human

computation, etc. The workshop is prepared for machine learning, web mining, and information retrieval researchers and practitioners who are interested in computational approaches to social computing.

Bio:

Irwin King is the Associate Dean (Education) of the Engineering Faculty and Professor in the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He is also the Director of Rich Media and Big Data Key Laboratory at the Shenzhen Research Institute. His research interests include machine learning, social computing, Big Data, data mining, and multimedia information processing. In these research areas, he has over 250 technical publications in journals and conferences.

Prof. King is the Book Series Editor for Social Media and Social Computing with Taylor and Francis (CRC Press). He is also an Associate Editor of the Neural Network Journal and ACM Transactions on  Knowledge Discovery from Data (ACM TKDD). Currently, he is a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA. He also serves INNS as the Vice-President for Membership in the Board of Governors. Moreover, he is the General Chair of WSDM2011, General Co-Chair of RecSys2013, ACML2015, GCMS2017, and in various capacities in a number of top conferences such as WWW, NIPS, ICML, IJCAI, AAAI, etc.

Prof. King is Associate Dean (Education), Faculty of Engineering and Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He is also Director of the Shenzhen Key Laboratory of Rich Media and Big Data. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.  He was on leave to AT&T Labs Research on special projects and also taught courses at UC Berkeley on Social Computing and Data Mining.  Recently, Prof. King has been an evangelist in the use of education technologies in eLearning for the betterment of teaching and learning.