Abstract
In this talk, we would like to introduce an emerging inter-discipline: behavior analytics, which recently attracts increasing interests from researchers and practitioners of various domains. We will connect it to “social computing”, a well-established concept, but focus on their differences and the concept evolution. We will also introduce the key research problems in behavior analytics and highlight the recent advances in the modeling techniques. Some research papers and real-life applications will be presented as examples to illustrate the unique characteristics of this exciting area.

Biography
Dr. Junjie Wu received his Ph.D. degree in Management Science and Engineering from Tsinghua University in 2008, from where he also holds a B.E. degree in Civil Engineering. He is currently a full professor in Information Systems Department, School of Economics and Management, Beihang University. He is also the director of the Research Center for Data Intelligence, and the vice director of Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations. His general area of research is data mining, with a special interest in social, urban and financial computing. He is the PI of over 30 research projects, including one NSFC key project (IoT Big Data Mining), one MOST 863 project (Social Computing), and various MIIT 242 projects (Information Security). He has published one monograph in Springer and over 100 papers in refereed conference proceedings (e.g., KDD, IJCAI, AAAI) and journals (e.g., ISR, TKDE, TIP), with one selected as a ten-year highly cited paper by Essential Science Indicators (ESI). He is the recipient of various nation-wide academic awards: the NSFC Distinguished Young Scholars, the MOE Changjiang Young Scholars, and the National Excellent Doctoral Dissertation.

Abstract
Natural Language Processing (NLP) technology has shown great potential in e-Commerce, including question answering and dialog. This talk will introduce ROBOTA, an interactive dialog system developed in ABitAI Tech. The goal of ROBOTA is helping corporate clients to build a deep connection with customers in a cost effective manner. By integrating the knowledge graph of a certain vertical domain, the natural language understanding(NLU), and personalized recommendation techniques, ROBOTA has achieved high customer recruiting and has improved the repeated purchase rates. The talk will also share the experience of constructing a leading B2B e-Commerce customer service platform.

Biography
Hu Yunhua, Ph.D. from Xi'an Jiaotong University, former postdoctoral researcher and associate researcher of Microsoft Microsoft Research Lab – Asia, senior algorithm expert of Alibaba Group's. Founded Beijing ABitAI Technology Co., Ltd. in 2016, which is focused on developing artificial intelligence(AI) technology and human-computer interactive system for corporate customers. The products of intelligent interactive recommendation system - Robota and chat-bots are currently used in online shopping and intelligent customer service system to enhance shopping experience.