Title: Ten New Developments of Recommender System for e-Business IntelligenceAbstract
This talk will present ten recent developments by our Decision Systems and e-Service Intelligence (DeSI) lab in recommender systems, including trust-enhanced recommender systems, fuzzy recommender systems, tree-structured recommender systems, group recommender systems, cross-domain recommender systems and recommender system virtualization. It will give few real-world applications of recommender systems in e-business intelligence.Short Bio
Distinguished Professor Jie Lu is a Fellow of IEEE and Fellow of IFSA, an internationally renowned scientist in the areas of computational intelligence, specifically in fuzzy transfer learning, concept drift, decision support systems, and recommender systems. She is the Associate Dean in Research Excellence in the Faculty of Engineering and Information Technology and the Director of Centre for Artificial Intelligence (CAI) at University of Technology Sydney (UTS). She has published six research books and over 400 papers in Artificial Intelligence, IEEE transactions on Fuzzy Systems and other top journals and conference proceedings. She serves as Editor-In-Chief for Knowledge-Based Systems (Elsevier) and Editor-In-Chief for International Journal on Computational Intelligence Systems (Atlantis). She has won 20 Australian Research Council (ARC) discovery grants and other research grants, delivered 20 keynote speeches at international conferences, and chaired 20 international conferences. Professor Lu is an Australian Eureka Prize finalist for Advanced Data Science in 2017 and also 2018. She is the winner of the Wilkes Award for 2018, the winner of 2019 IEEE Transactions on Fuzzy Systems (TFS) Outstanding Paper Award and of other awards.
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