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SpringerBriefs in Electrical and Computer Engineering

Recommender Systems for Location-based Social Networks

Authors: Symeonidis, Panagiotis, Ntempos, Dimitrios, Manolopoulos, Yannis

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  • ISBN 978-1-4939-0286-6
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About this book

Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs.

The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.

Table of contents (9 chapters)

  • Introduction

    Symeonidis, Panagiotis (et al.)

    Pages 1-4

  • Recommender Systems

    Symeonidis, Panagiotis (et al.)

    Pages 7-20

  • Online Social Networks

    Symeonidis, Panagiotis (et al.)

    Pages 21-34

  • Location-Based Social Networks

    Symeonidis, Panagiotis (et al.)

    Pages 35-48

  • Framework

    Symeonidis, Panagiotis (et al.)

    Pages 51-66

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-1-4939-0286-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-1-4939-0285-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Recommender Systems for Location-based Social Networks
Authors
Series Title
SpringerBriefs in Electrical and Computer Engineering
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4939-0286-6
DOI
10.1007/978-1-4939-0286-6
Softcover ISBN
978-1-4939-0285-9
Series ISSN
2191-8112
Edition Number
1
Number of Pages
V, 108
Number of Illustrations and Tables
8 b/w illustrations, 33 illustrations in colour
Topics