Titlebook: Recommender Systems for Location-based Social Networks; Panagiotis Symeonidis,Dimitrios Ntempos,Yannis Man Book 2014 The Author(s) 2014 Al

動物

facetious

Cirrhosis

ConclusionsThis last chapter concludes the book with a summary and future research directions.

AGONY

Panagiotis Symeonidis,Dimitrios Ntempos,Yannis ManIncludes supplementary material:

Instinctive

Recommender Systems for Location-based Social Networks978-1-4939-0286-6Series ISSN 2191-8112 Series E-ISSN 2191-8120

我不重要

Myocarditis

Aromatic

Online Social Networksdigms of commercial OSNs, and (4) the transition of OSNs towards location as an auxiliary dimension. Finally, the social and economic report of commercial OSNs helps the reader to realize the huge potential that Location-based Social Networks (LBSNs) have, based on the fact that OSNs have incorporated the location dimension in recent years.

清洗

Frameworke field of LBSNs (i.e. Collaborative Filtering, Semantically-enhanced, etc.). Moreover, we introduce the four types of recommendations in LBSNs (i.e. location, activity, friend, event). Finally, the reader meets an experimental framework for evaluating the quality of recommendations in LBSNs.

吹牛需要藝術(shù)