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.
CITATION STYLE
Bothorel, C., Lathia, N., Picot-Clemente, R., & Noulas, A. (2018). Location recommendation with social media data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10100 LNCS, pp. 624–653). Springer Verlag. https://doi.org/10.1007/978-3-319-90092-6_16
Mendeley helps you to discover research relevant for your work.