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Realizing the potential of the internet of things for smart tourism with 5G and AI
With the development of communication and information technologies, smart tourism is
gradually changing the tourism industry. Internet of Things (IoT) plays an important role in …
gradually changing the tourism industry. Internet of Things (IoT) plays an important role in …
[HTML][HTML] Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism
Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …
one of the central industries to global development to tackle global challenges. With the …
Bidirectional GRU networks‐based next POI category prediction for healthcare
Abstract The Corona Virus Disease 2019 has a great impact on public health and public
psychology. People stay at home for a long time and rarely go out. With the improvement of …
psychology. People stay at home for a long time and rarely go out. With the improvement of …
Spatiotemporal representation learning for translation-based POI recommendation
The increasing proliferation of location-based social networks brings about a huge volume
of user check-in data, which facilitates the recommendation of points of interest (POIs). Time …
of user check-in data, which facilitates the recommendation of points of interest (POIs). Time …
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 …
Incremental mobile user profiling: Reinforcement learning with spatial knowledge graph for modeling event streams
We study the integration of reinforcement learning and spatial knowledge graph for
incremental mobile user profiling, which aims to map mobile users to dynamically-updated …
incremental mobile user profiling, which aims to map mobile users to dynamically-updated …
LGLMF: local geographical based logistic matrix factorization model for POI recommendation
With the rapid growth of Location-Based Social Networks, personalized Points of Interest
(POIs) recommendation has become a critical task to help users explore their surroundings …
(POIs) recommendation has become a critical task to help users explore their surroundings …
[HTML][HTML] Leveraging social influence based on users activity centers for point-of-interest recommendation
Abstract Recommender Systems (RSs) aim to model and predict the user preference while
interacting with items, such as Points of Interest (POIs). These systems face several …
interacting with items, such as Points of Interest (POIs). These systems face several …
Personalized context-aware point of interest recommendation
Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
Joint geographical and temporal modeling based on matrix factorization for point-of-interest recommendation
With the popularity of Location-based Social Networks, Point-of-Interest (POI)
recommendation has become an important task, which learns the users' preferences and …
recommendation has become an important task, which learns the users' preferences and …