Recommender Systems for Location-based Social Networks

• Κύριοι συγγραφείς: Symeonidis, Panagiotis (Συγγραφέας), Ntempos, Dimitrios (Συγγραφέας), Manolopoulos, Yannis (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: 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...

Πίνακας περιεχομένων:

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