Predicting the next location: A recurrent model with spatial and temporal contexts
Spatial and temporal contextual information plays a key role for analyzing user behaviors,
and is helpful for predicting where he or she will go next. With the growing ability of …
and is helpful for predicting where he or she will go next. With the growing ability of …
PMF: A privacy-preserving human mobility prediction framework via federated learning
With the popularity of mobile devices and location-based social network, understanding and
modelling the human mobility becomes an important topic in the field of ubiquitous …
modelling the human mobility becomes an important topic in the field of ubiquitous …
[PDF][PDF] Content-aware hierarchical point-of-interest embedding model for successive poi recommendation.
Recommending a point-of-interest (POI) a user will visit next based on temporal and spatial
context information is an important task in mobile-based applications. Recently, several POI …
context information is an important task in mobile-based applications. Recently, several POI …
A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services
With the rapid pervasion of location-based services (LBSs), protection of location privacy
has become a significant concern. In most continuous LBSs' privacy-preserving solutions …
has become a significant concern. In most continuous LBSs' privacy-preserving solutions …
A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
Modelling taxi drivers' behaviour for the next destination prediction
In this paper, we study how to model taxi drivers' behavior and geographical information for
an interesting and challenging task: the next destination prediction in a taxi journey …
an interesting and challenging task: the next destination prediction in a taxi journey …
[HTML][HTML] Spatio-temporal representation learning with social tie for personalized POI recommendation
Recommending a limited number of Point-of-Interests (POIs) a user will visit next has
become increasingly important to both users and POI holders for Location-Based Social …
become increasingly important to both users and POI holders for Location-Based Social …
Real-time POI recommendation via modeling long-and short-term user preferences
Abstract Recently, Next Point-of-Interest (POI) Recommendation which proposes users for
their next visiting locations, has gained increasing attention. A timely and accurate next POI …
their next visiting locations, has gained increasing attention. A timely and accurate next POI …
A learning-based POI recommendation with spatiotemporal context awareness
YC Chen, T Thaipisutikul… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to the great advances in mobility techniques, an increasing number of point-of-interest
(POI)-related services have emerged, which could help users to navigate or predict POIs that …
(POI)-related services have emerged, which could help users to navigate or predict POIs that …
A hybrid Markov-based model for human mobility prediction
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …
distributions. Predicting human mobility has the potential to enhance location-based …