Practical and privacy-preserving geo-social-based POI recommendation
With the rapid development of location-based services and online social networks, POI recommendation services considering geographic and social factors have received extensive attention. Meanwhile, the vigorous development of cloud computing has prompted
Qi Xu +4 more
doaj +2 more sources
POI recommendation with queuing time and user interest awareness. [PDF]
Point-of-interest (POI) recommendation is a challenging problem due to different contextual information and a wide variety of human mobility patterns. Prior studies focus on recommendation that considers user travel spatiotemporal and sequential patterns
Halder S, Lim KH, Chan J, Zhang X.
europepmc +2 more sources
Personalized Recommendation of PoIs to People with Autism [PDF]
The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by causing stress and anxiety.
Noemi Mauro +2 more
openaire +2 more sources
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 the next POI to visit.
Tong Chen +7 more
core +2 more sources
Point of Interest Recommendation Algorithm Fusing with Spatiotemporal and Popularity Features [PDF]
Point of Interest(POI) recommendation helps users to find the desired location,but the recommendation accuracy of existing recommendation algorithms is low.To solve this problem,a POI recommendation algorithm fusing with spatiotemporal and popularity ...
WU Yan,ZHANG Yun,CHEN Shuangshuang
doaj +1 more source
A Survey of Studies on Deep Learning Applications in POI Recommendation [PDF]
In Location-Based Social Network(LBSN), users conduct check-ins at selected Point of Interest(POI) to record their trajectories, share feelings with their friends and form social friends.POI recommendation is an important service of LBSN to help users ...
TANG Jiaxin, CHEN Yang, ZHOU Mengying, WANG Xin
doaj +1 more source
Personalized POI recommendation using deep reinforcement learning [PDF]
As an important location based service, next Point-Of-Interest (POI) recommendation has been widely utilized in helping people discover attractive and interesting locations.
Huang, Jing, Zhang, Tong
core +1 more source
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 interesting places.
Chen, T +5 more
core +2 more sources
Relation Embedding for Personalised Translation-Based POI Recommendation [PDF]
Point-of-Interest (POI) recommendation is one of the most important location-based services helping people discover interesting venues or services. However, the extreme user-POI matrix sparsity and the varying spatio-temporal context pose challenges for ...
Wang X, Salim F, Ren Y, Koniusz P.
europepmc +1 more source
Dynamic Recommendation of POI Sequence Responding to Historical Trajectory
Point-of-Interest (POI) recommendation is attracting the increasing attention of researchers because of the rapid development of Location-based Social Networks (LBSNs) in recent years.
Jianfeng Huang +3 more
doaj +1 more source

