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2014 | OriginalPaper | Chapter

6. Algorithms

Authors : Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos

Published in: Recommender Systems for Location-based Social Networks

Publisher: Springer New York

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Abstract

This chapter provides more details on advanced research work proposed in LBSNs, and deepens in the algorithmic side of each method. We present algorithms for generic and personalized recommendations. For readability reasons, we have categorized the state-of-the-art methods in different algorithmic families such as matrix and tensor factorization, graph-based methods, and hybrid models.

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Footnotes
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Metadata
Title
Algorithms
Authors
Panagiotis Symeonidis
Dimitrios Ntempos
Yannis Manolopoulos
Copyright Year
2014
Publisher
Springer New York
Book
Recommender Systems for Location-based Social Networks

Print ISBN: 978-1-4939-0285-9

Electronic ISBN: 978-1-4939-0286-6

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4939-0286-6_6

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