Results 21 to 30 of about 443,564 (206)
Personalized Recommendation of PoIs to People with Autism [PDF]
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020 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
Successive Point-of-Interest Recommendation With Local Differential Privacy
IEEE Access, 2021 A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to launch advertisements at appropriate locations.
Jong Seon Kim +2 more
doaj +1 more source
Self-Supervised Spatio-Temporal Graph Learning for Point-of-Interest Recommendation
Applied Sciences, 2023 As one of the most crucial topics in the recommendation system field, point-of-interest (POI) recommendation aims to recommending potential interesting POIs to users.
Jiawei Liu +4 more
doaj +1 more source
Point of Interest Recommendation Algorithm Fusing with Spatiotemporal and Popularity Features [PDF]
Jisuanji gongcheng, 2018 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 Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence
ISPRS International Journal of Geo-Information, 2022 Point of interest (POI) recommendation as an important service in location-based social networks has developed rapidly, which can help users find more interesting unknown locations and facilitate service providers to provide users with more accurate ...
Xican Wang +4 more
doaj +1 more source
Decentralized Collaborative Learning Framework for Next POI Recommendation
, 2022 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 +1 more source
A Survey of Studies on Deep Learning Applications in POI Recommendation [PDF]
Jisuanji gongcheng, 2022 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]
, 2021 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
Discovering Subsequence Patterns for Next POI Recommendation [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Next Point-of-Interest (POI) recommendation plays an important role in location-based services. State-of-the-art methods learn the POI-level sequential patterns in the user's check-in sequence but ignore the subsequence patterns that often represent the socio-economic activities or coherence of preference of the users.
Kangzhi Zhao +6 more
openaire +3 more sources
POI Neural-Rec Model via Graph Embedding Representation
Tsinghua Science and Technology, 2021 With the booming of the Internet of Things (IoT) and the speedy advancement of Location-Based Social Networks (LBSNs), Point-Of-Interest (POI) recommendation has become a vital strategy for supporting people’s ability to mine their POIs.
Kang Yang, Jinghua Zhu, Xu Guo
doaj +1 more source