Point-of-Interest Recommendation in Location-Based Social Networks

• Main Authors: Zhao, Shenglin (Author, http://id.loc.gov/vocabulary/relators/aut), Lyu, Michael R. (http://id.loc.gov/vocabulary/relators/aut), King, Irwin (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Computer Science,
• Subjects: Data mining.; Application software.; Multimedia information systems.; Artificial intelligence.; Geographical information systems.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Multimedia Information Systems.; Artificial Intelligence.; Geographical Information Systems/Cartography.
• Physical Description: IX, 101 p. 38 illus. online resource.
• ISBN: 9789811313493
• ISSN: 2191-5768
• DOI: 10.1007/978-981-13-1349-3

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 perspectives. Further, it demonstrates how to build a state-of-the-art POI recommendation system by incorporating the user behavior analysis. Lastly, the book discusses future research directions in this area. 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.