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On Top-n Reverse Top-k Queries: Variants, Algorithms, and Applications
Speaker: Professor Arbee Chen Chair Professor of Computer Science National Chengchi University Title: "On Top-n Reverse Top-k Queries: Variants, Algorithms, and Applications" Date: Monday, 4 February 2013 Time: 4:00pm - 5:00pm Venue: Lecture Theatre F (near lifts 25/26), HKUST Abstract: Given a set of products and a set of customers with their respective preferences on these products, a reverse top-k query computes for each product the number of customers who consider this product as their top-k favorites. Accordingly, the top-n reverse top-k query selects the top-n products based on the total number of customers who consider one of these products as their top-k favorites. In this talk, variants of the problem, possible applications, as well as techniques employed to solve these problems, including skyline queries and bi-chromatic reverse k-nearest neighbor queries will be presented. ***************** Biography: Arbee L.P. Chen received a PhD degree in computer engineering from the University of Southern California in 1984. He is currently Chair Professor of Computer Science at National Chengchi University, and a Joint Faculty Member at National Tsing Hua University and Academia Sinica, Taiwan. His current research interests include cloud databases, big data analytics, top-k queries, data stream processing and analysis, and data mining. He organized 1995 IEEE Data Engineering Conference in Taiwan, and was a program committee co-chair of 2008 IEEE Data Engineering Conference at Cancun, Mexico. He was invited to deliver a speech at the US National Science Foundation sponsored Inaugural International Symposium on Music Information Retrieval at Plymouth, Massachusetts, 2000, and a speech at the IEEE Shannon Lecture Series at Stanford University, 2005. He has published more than 200 papers in renowned international journals and conference proceedings, and was a visiting scholar at Kyoto University, Japan, 1999, Stanford University, 2003, 2004, 2005, King's College London, 2005, Boston University, 2009, and Harvard University, 2010.