Deep-distributed-learning-based POI recommendation under mobile-edge networks
With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
Spatial-aware hierarchical collaborative deep learning for POI recommendation
Point-of-interest (POI) recommendation has become an important way to help people
discover attractive and interesting places, especially when they travel out of town. However …
discover attractive and interesting places, especially when they travel out of town. However …
RecNet: A deep neural network for personalized POI recommendation in location-based social networks
R Ding, Z Chen - International Journal of Geographical Information …, 2018 - Taylor & Francis
How to exploit various features of users and points of interest (POIs) for accurate POI
recommendation is important in location-based social networks (LBSNs). In this paper, a …
recommendation is important in location-based social networks (LBSNs). In this paper, a …
Geographical POI recommendation for Internet of Things: A federated learning approach using matrix factorization
J Huang, Z Tong, Z Feng - International Journal of …, 2022 - Wiley Online Library
With the popularity of Internet of Things (IoT), Point‐of‐Interest (POI) recommendation has
become an important application for location‐based services (LBS). Meanwhile, there is an …
become an important application for location‐based services (LBS). Meanwhile, there is an …
Hierarchical multi-task graph recurrent network for next poi recommendation
Learning which Point-of-Interest (POI) a user will visit next is a challenging task for
personalized recommender systems due to the large search space of possible POIs in the …
personalized recommender systems due to the large search space of possible POIs in the …
A graph embedding based model for fine-grained POI recommendation
Abstract Point-of-interest (POI) recommendation is an important technique widely used in
self-driving services. While POI recommendation aims to recommend unvisited POIs to self …
self-driving services. While POI recommendation aims to recommend unvisited POIs to self …
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 …
Hybrid graph convolutional networks with multi-head attention for location recommendation
Recommending yet-unvisited points of interest (POIs) which may be of interest to users is
one of the fundamental applications in location-based social networks. It mainly replies on …
one of the fundamental applications in location-based social networks. It mainly replies on …
Point-of-interest recommendation: Exploiting self-attentive autoencoders with neighbor-aware influence
The rapid growth of Location-based Social Networks (LBSNs) provides a great opportunity
to satisfy the strong demand for personalized Point-of-Interest (POI) recommendation …
to satisfy the strong demand for personalized Point-of-Interest (POI) recommendation …
Graph-enhanced spatial-temporal network for next POI recommendation
The task of next Point-of-Interest (POI) recommendation aims at recommending a list of POIs
for a user to visit at the next timestamp based on his/her previous interactions, which is …
for a user to visit at the next timestamp based on his/her previous interactions, which is …