A recommender system aims to provide users with personalised online product or service recommendations to handle the increasing online information overload problem and improve customer relationship management. Recently, real-world applications of recommender systems have been successfully developed - this demonstrates that recommender systems now provide business with great opportunities.
In this talk Professor Jie Lu, the Associate Dean Research in the Faculty of Engineering and Information Technology (FEIT) at the University of Technology, Sydney (UTS), will presents the recent developments and up-to-date application of recommender systems in e-government, e-business, e-commerce, e-learning, e-tourism, and e-group activities. It systematically examines recommender systems through three dimensions: recommendation methods, recommender systems software, and real-world application domains.
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