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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Symeonidis, Panagiotis (Auteur), Ntempos, Dimitrios (Auteur), Manolopoulos, Yannis (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2014.
Édition:1st ed. 2014.
Collection:SpringerBriefs in Electrical and Computer Engineering,
Sujets:
Data mining.
Artificial intelligence.
Application software.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Accès en ligne:Texto Completo
Table des matières:
  • Introduction
  • Recommender Systems
  • Online Social Networks
  • Location-based Social Networks
  • Framework
  • Algorithms
  • Comparison
  • Real Geo-social Recommender Systems
  • Conclusions.

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