Spatio-Temporal Recommendation in Social Media

  • Hongzhi Yin
  • Bin Cui

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Hongzhi Yin, Bin Cui
    Pages 1-15
  3. Hongzhi Yin, Bin Cui
    Pages 17-39
  4. Hongzhi Yin, Bin Cui
    Pages 41-63
  5. Hongzhi Yin, Bin Cui
    Pages 65-98
  6. Hongzhi Yin, Bin Cui
    Pages 99-114

About this book


This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users’ behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users’ behaviors, user interest drift over geographical regions, data sparsity and cold start.  Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.


Recommander system User behavior modeling Social media mining Location-based service Query processing algorithm Data sparsity Spatial database Cold-start problem

Authors and affiliations

  • Hongzhi Yin
    • 1
  • Bin Cui
    • 2
  1. 1.Bldg. 78, Rm 639The University of QueenslandBRISBANEAustralia
  2. 2.Peking UniversityBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Singapore 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-981-10-0747-7
  • Online ISBN 978-981-10-0748-4
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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