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Recent Development in Recommender System for e-Business Intelligence
2013年1月13日
 
 

悉尼科技大学软件学院路节教授应邀管理与经济学院作学术报告

 
题  目:Recent Development in Recommender System for e-Business Intelligence
主讲人:路节教授(悉尼科技大学软件学院)
主讲人简介:
Professor Jie Lu is the Head of School of Software in the Faculty of Engineering and Information Technology, and the Director of the Decision Systems and e-Service Intelligence Research Laboratory in the Centre for Quantum Computation & Intelligent Systems at the University of Technology, Sydney (UTS). She received her PhD from Curtin University of Technology in 2000. Her main research interests lie in the area of decision making modeling, decision support system tools, uncertain information processing, recommender systems and e-Government and e-Service intelligence. She has published five research books and 300 papers in refereed journals and conference proceedings. She has won five Australian Research Council (ARC) discovery grants, an Australian Learning & Teaching Council grant, and 10 other research and industry linkage grants. She received the first UTS Research Excellent Medal for Teaching and Research Integration in 2010. She serves as Editor-In-Chief for Knowledge-Based Systems (Elsevier), Editor-In-Chief for International Journal on Computational Intelligence Techniques, Methods and Applications (Atlantis), editor for book series on Intelligent Information Systems (World Scientific) and proceedings series on Computer Engineering and Information Science (World Scientific), and has served as a guest editor of six special issues for international journals, as well as having delivered five keynote speeches at international conferences.
内容简介:
This talk will introduce some popular recommendation approaches and, in particular, present the recent developments by our Decision Systems and e-Service Intelligence (DeSI) lab in personalised recommender systems and their applications. It consists of three main parts: the models and approaches of recommender systems, the applications of soft computing in recommender systems, and recent developments of recommender system applications in e-business intelligence.
时  间:2012年12月19日(周三)下午15:00   
地  点:主楼418会议室
(承办:管理科学工程系)
  
 
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