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

  • Shenglin Zhao
  • Michael R. Lyu
  • Irwin King
Book

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Shenglin Zhao, Michael R. Lyu, Irwin King
    Pages 1-28
  3. Shenglin Zhao, Michael R. Lyu, Irwin King
    Pages 29-36
  4. Shenglin Zhao, Michael R. Lyu, Irwin King
    Pages 37-56
  5. Shenglin Zhao, Michael R. Lyu, Irwin King
    Pages 57-78
  6. Shenglin Zhao, Michael R. Lyu, Irwin King
    Pages 79-94
  7. Shenglin Zhao, Michael R. Lyu, Irwin King
    Pages 95-99
  8. Back Matter
    Pages 101-101

About this book

Introduction

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.


Keywords

Location-Based Services Point-Of-Interest Recommendation Spatio-Temporal Analysis User Modeling User Behavior Analysis Location-Based Social Networks Location Recommendation Geographical Recommender Systems LBSN Behavior Research User Mobility Recommendation Methods Mobile Information Processing Systems

Authors and affiliations

  • Shenglin Zhao
    • 1
  • Michael R. Lyu
    • 2
  • Irwin King
    • 3
  1. 1.Youtu LabTencentShenzhenChina
  2. 2.Department of Computer Science and EngineeringThe Chinese University of Hong KongHong KongChina
  3. 3.Department of Computer Science and EngineeringThe Chinese University of Hong KongHong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-1349-3
  • Copyright Information The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd., part of Springer Nature 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-981-13-1348-6
  • Online ISBN 978-981-13-1349-3
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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