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Point-of-Interest Recommendation in Location-Based Social Networks / by Shenglin Zhao, Michael R. Lyu, Irwin King

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer Science | SpringerLink BücherPublisher: Singapore : Springer Singapore, 2018Description: Online-Ressource (IX, 101 p. 38 illus, online resource)ISBN:
  • 9789811313493
Subject(s): Additional physical formats: 9789811313486 | Printed edition: 9789811313486 DDC classification:
  • 006.312
LOC classification:
  • QA76.9.D343
DOI: DOI: 10.1007/978-981-13-1349-3Online resources: Summary: 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 systemsPPN: PPN: 1028029330Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS
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Reproduktion. (Springer eBook Collection. Computer Science)