A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques

N Bui, M Cesana, SA Hosseini, Q Liao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

E Toch, B Lerner, E Ben-Zion, I Ben-Gal - Knowledge and Information …, 2019 - Springer
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

[CARTE][B] Social media mining: an introduction

R Zafarani, MA Abbasi, H Liu - 2014 - books.google.com
The growth of social media over the last decade has revolutionized the way individuals
interact and industries conduct business. Individuals produce data at an unprecedented rate …

An experimental evaluation of point-of-interest recommendation in location-based social networks

Y Liu, TAN Pham, G Cong, Q Yuan - 2017 - dr.ntu.edu.sg
Point-of-interest (POI) recommendation is an important service to Location-Based Social
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …

Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks

J Sun, J Kim - Transportation Research Part C: Emerging …, 2021 - Elsevier
This paper aims to incorporate travel time prediction in the next location prediction problem
to enable the prediction of the city-wide movement trajectory of an individual vehicle by …

Evidence for a conserved quantity in human mobility

L Alessandretti, P Sapiezynski, V Sekara… - Nature human …, 2018 - nature.com
Recent seminal works on human mobility have shown that individuals constantly exploit a
small set of repeatedly visited locations,–. A concurrent study has emphasized the …

Anticipatory mobile computing: A survey of the state of the art and research challenges

V Pejovic, M Musolesi - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
Today's mobile phones are far from the mere communication devices they were 10 years
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …

[PDF][PDF] Understanding predictability and exploration in human mobility

A Cuttone, S Lehmann, MC González - EPJ Data Science, 2018 - Springer
Predictive models for human mobility have important applications in many fields including
traffic control, ubiquitous computing, and contextual advertisement. The predictive …

A random walk around the city: New venue recommendation in location-based social networks

A Noulas, S Scellato, N Lathia… - … Conference on Privacy …, 2012 - ieeexplore.ieee.org
The popularity of location-based social networks available on mobile devices means that
large, rich datasets that contain a mixture of behavioral (users visiting venues), social (links …

Regularity and conformity: Location prediction using heterogeneous mobility data

Y Wang, NJ Yuan, D Lian, L Xu, X **e… - Proceedings of the 21th …, 2015 - dl.acm.org
Mobility prediction enables appealing proactive experiences for location-aware services and
offers essential intelligence to business and governments. Recent studies suggest that …