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 …
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 …
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 …
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 …
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 …
NRDL: Decentralized user preference learning for privacy-preserving next POI recommendation
J An, G Li, W Jiang - Expert Systems with Applications, 2024 - Elsevier
Predicting where a user goes next in terms of his or her previously visited points of interest
(POIs) is significant for facilitating users' daily lives. Simultaneously, it must be …
(POIs) is significant for facilitating users' daily lives. Simultaneously, it must be …
Privacy preserving point-of-interest recommendation using decentralized matrix factorization
Points of interest (POI) recommendation has been drawn much attention recently due to the
increasing popularity of location-based networks, eg, Foursquare and Yelp. Among the …
increasing popularity of location-based networks, eg, Foursquare and Yelp. Among the …
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 …
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) …
Doing more with less: Overcoming data scarcity for POI recommendation via cross-region transfer
V Gupta, S Bedathur - ACM Transactions on Intelligent Systems and …, 2022 - dl.acm.org
Variability in social app usage across regions results in a high skew of the quantity and the
quality of check-in data collected, which in turn is a challenge for effective location …
quality of check-in data collected, which in turn is a challenge for effective location …