Recommender Systems for Location-based Social Networks

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) enable...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Symeonidis, Panagiotis (Author), Ntempos, Dimitrios (Author), Manolopoulos, Yannis (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:SpringerBriefs in Electrical and Computer Engineering,
Subjects:
Data mining.
Artificial intelligence.
Application software.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • Recommender Systems
  • Online Social Networks
  • Location-based Social Networks
  • Framework
  • Algorithms
  • Comparison
  • Real Geo-social Recommender Systems
  • Conclusions.

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