Point-of-Interest Recommendation in Location-Based Social Networks
This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a review of the advances in this area, the book then analyzes user mobility in LBSNs from geographical and temporal perspe
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Shenglin Zhao · Michael R. Lyu Irwin King
Point-of-Interest Recommendation in Location-Based Social Networks
SpringerBriefs in Computer Science Series editors Stan Zdonik, Brown University, Providence, Rhode Island, USA Shashi Shekhar, University of Minnesota, Minneapolis, Minnesota, USA Xindong Wu, University of Vermont, Burlington, Vermont, USA Lakhmi C. Jain, University of South Australia, Adelaide, South Australia, Australia David Padua, University of Illinois Urbana-Champaign, Urbana, Illinois, USA Xuemin Sherman Shen, University of Waterloo, Waterloo, Ontario, Canada Borko Furht, Florida Atlantic University, Boca Raton, Florida, USA V. S. Subrahmanian, University of Maryland, College Park, Maryland, USA Martial Hebert, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA Katsushi Ikeuchi, University of Tokyo, Tokyo, Japan Bruno Siciliano, Università di Napoli Federico II, Napoli, Italy Sushil Jajodia, George Mason University, Fairfax, Virginia, USA Newton Lee, Newton Lee Laboratories, LLC, Burbank, California, USA
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Shenglin Zhao Michael R. Lyu Irwin King •
Point-of-Interest Recommendation in Location-Based Social Networks
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Shenglin Zhao Youtu Lab Tencent Shenzhen, Guangdong, China Michael R. Lyu Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong, China
Irwin King Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong, China
ISSN 2191-5768 ISSN 2191-5776 (electronic) SpringerBriefs in Computer Science ISBN 978-981-13-1348-6 ISBN 978-981-13-1349-3 (eBook) https://doi.org/10.1007/978-981-13-1349-3 Library of Congress Control Number: 2018947499 © The Author(s), under exclusive license to Springer Nature Singapo
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