Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
In Location-based Social Networks, Point-of-Interest (POI) recommendation helps users
discover interesting places. There is a trend to move from the cloud-based model to on …
discover interesting places. There is a trend to move from the cloud-based model to on …
Decentralized collaborative learning framework for next POI recommendation
Next Point-of-Interest (POI) recommendation has become an indispensable functionality in
Location-based Social Networks (LBSNs) due to its effectiveness in helping people decide …
Location-based Social Networks (LBSNs) due to its effectiveness in helping people decide …
Model-agnostic decentralized collaborative learning for on-device POI recommendation
As an indispensable personalized service in Location-based Social Networks (LBSNs), the
next Point-of-Interest (POI) recommendation aims to help people discover attractive and …
next Point-of-Interest (POI) recommendation aims to help people discover attractive and …
PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning
Point-of-Interest (POI) recommendation is significant in location-based social networks to
help users discover new locations of interest. Previous studies on such recommendation …
help users discover new locations of interest. Previous studies on such recommendation …
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
The rapid expansion of Location-Based Social Networks (LBSNs) has highlighted the
importance of effective next Point-of-Interest (POI) recommendations, which leverage …
importance of effective next Point-of-Interest (POI) recommendations, which leverage …
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 …
Personalized Point-of-Interest Recommendation Based on Social and Geographical Influence
C Su, B Gong, X Xie - Proceedings of the 2021 4th Artificial Intelligence …, 2021 - dl.acm.org
With the rapid development of location-based social networks (LBSNs), personalized Point-
of-Interest (POI) recommendation has become an important personalized service to help …
of-Interest (POI) recommendation has become an important personalized service to help …
Adaptive clustering based personalized federated learning framework for next poi recommendation with location noise
Next point-of-interest (POI) recommendation has been a hot research topic, which enables
new paradigms for kinds of location-based services in real-world scenarios. Due to the …
new paradigms for kinds of location-based services in real-world scenarios. Due to the …
Bridging collaborative filtering and semi-supervised learning: a neural approach for poi recommendation
Recommender system is one of the most popular data mining topics that keep drawing
extensive attention from both academia and industry. Among them, POI (point of interest) …
extensive attention from both academia and industry. Among them, POI (point of interest) …
Adapting to user interest drift for poi recommendation
Point-of-Interest recommendation is an essential means to help people discover attractive
locations, especially when people travel out of town or to unfamiliar regions. While a …
locations, especially when people travel out of town or to unfamiliar regions. While a …