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Erschienen in:
Introduction to Social Information Access Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Location Recommendation with Social Media Data

verfasst von : Cécile Bothorel, Neal Lathia, Romain Picot-Clemente, Anastasios Noulas

Erschienen in: Social Information Access

Verlag: Springer International Publishing

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Abstract

Smartphones with inbuilt location-sensing technologies are now creating a new realm for recommender systems research and pratice. In this chapter, we focus on recommender systems that use location data to help users navigate the physical world. We examine various recommendation problems: recommending new places, recommending the next place to visit, events to attend, and recommending neighbourhoods or large areas to explore further. Lastly, we discuss how (personalized) place search is analogous to web search. For each of these domains, we present relevant data, algorithms, and methods, and we illustrate how researchers are investigating them with examples from the literature. We close by summarizing key aspects and suggesting future directions.

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Vorheriges Kapitel People Recommendation on Social Media
Fußnoten
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Metadaten
Titel
Location Recommendation with Social Media Data
verfasst von
Cécile Bothorel
Neal Lathia
Romain Picot-Clemente
Anastasios Noulas
Copyright-Jahr
2018
Buch
Social Information Access

Print ISBN: 978-3-319-90091-9

Electronic ISBN: 978-3-319-90092-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-90092-6_16