Recommender Systems for Location-based Social Networks

• Main Authors: Symeonidis, Panagiotis (Author), Ntempos, Dimitrios (Author), Manolopoulos, Yannis (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).

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...

Table of Contents:

• Introduction
• Recommender Systems
• Online Social Networks
• Location-based Social Networks
• Framework
• Algorithms
• Comparison
• Real Geo-social Recommender Systems
• Conclusions.