Point-of-Interest Recommendation in Location-Based Social Networks: SpringerBriefs in Computer Science
Autor Shenglin Zhao, Michael R. Lyu, Irwin Kingen Limba Engleză Paperback – 23 iul 2018
This book is intended for professionals involved in POI recommendation and graduate students working on problems related to location-based services. It is assumed that readers have a basic knowledge of mathematics, as well as some background in recommendation systems.
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Specificații
ISBN-13: 9789811313486
ISBN-10: 9811313482
Pagini: 99
Ilustrații: IX, 101 p. 38 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.17 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria SpringerBriefs in Computer Science
Locul publicării:Singapore, Singapore
ISBN-10: 9811313482
Pagini: 99
Ilustrații: IX, 101 p. 38 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.17 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria SpringerBriefs in Computer Science
Locul publicării:Singapore, Singapore
Notă biografică
Dr. Shenglin Zhao is currently a senior researcher at Youtu Lab in Tencent, and was recently awarded a Ph.D. by the Chinese University of Hong Kong. He is an expert in the area of recommendation systems, especially for POI recommendation. In this area, he has published several journal and conference papers, such as “Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation” (ICONIP 17, Best Paper Runner-up), “Geo-teaser: Geo-temporal sequential embedding rank for point-of-interest recommendation”(WWW17), and “STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation” (AAAI 16).
Dr. Michael R. Lyu is currently a Professor and the Chairman of the Department of Computer Science and Engineering at the Chinese University of Hong Kong. He was elected IEEE Fellow in 2004, AAAS Fellow in 2007, and ACM Fellow in 2015. His research interests include software engineering, dependable computing, distributed systems, cloud computing, mobile networking, big data, and machine learning. He has published over 480 refereed journal and conference papers.
Dr. Irwin King is Associate Dean (Education) at the Faculty of Engineering and a Professor at the Department of Computer Science and Engineering, the Chinese University of Hong Kong. His research interests include machine learning, social computing, web intelligence, data mining, and multimedia information processing. In these areas, he has published over 210 technical papers in various journals (JMLR, ACM TOIS, IEEE TNN, Neurocomputing, NN, IEEE BME, PR, IEEE SMC, JAMC, JASIST, IJPRAI, DSS, etc.) and conferences (NIPS, IJCAI, CIKM, SIGIR, KDD, PAKDD, ICDM, WWW, WI/IAT, WCCI, IJCNN, ICONIP, ICDAR.). In addition, he has contributed over 30 book chapters to edited volumes.
Dr. Michael R. Lyu is currently a Professor and the Chairman of the Department of Computer Science and Engineering at the Chinese University of Hong Kong. He was elected IEEE Fellow in 2004, AAAS Fellow in 2007, and ACM Fellow in 2015. His research interests include software engineering, dependable computing, distributed systems, cloud computing, mobile networking, big data, and machine learning. He has published over 480 refereed journal and conference papers.
Dr. Irwin King is Associate Dean (Education) at the Faculty of Engineering and a Professor at the Department of Computer Science and Engineering, the Chinese University of Hong Kong. His research interests include machine learning, social computing, web intelligence, data mining, and multimedia information processing. In these areas, he has published over 210 technical papers in various journals (JMLR, ACM TOIS, IEEE TNN, Neurocomputing, NN, IEEE BME, PR, IEEE SMC, JAMC, JASIST, IJPRAI, DSS, etc.) and conferences (NIPS, IJCAI, CIKM, SIGIR, KDD, PAKDD, ICDM, WWW, WI/IAT, WCCI, IJCNN, ICONIP, ICDAR.). In addition, he has contributed over 30 book chapters to edited volumes.
Caracteristici
Provides a systematic literature review for the area of point-of-interest (POI) recommendation Introduces several state-of-the-art POI recommendation systems Analyzes the user check-in behavior based on real-world data