Realizing the potential of the internet of things for smart tourism with 5G and AI

W Wang, N Kumar, J Chen, Z Gong, X Kong… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism

HU Rehman Khan, CK Lim, MF Ahmed, KL Tan… - Sustainability, 2021 - mdpi.com
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 …

Bidirectional GRU networks‐based next POI category prediction for healthcare

Y Liu, Z Song, X Xu, W Rafique, X Zhang… - … Journal of Intelligent …, 2022 - Wiley Online Library
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 …

Spatiotemporal representation learning for translation-based POI recommendation

T Qian, B Liu, QVH Nguyen, H Yin - ACM Transactions on Information …, 2019 - dl.acm.org
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 …

PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning

Y Guo, F Liu, Z Cai, H Zeng, L Chen, T Zhou… - Proceedings of the ACM …, 2021 - dl.acm.org
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 …

Incremental mobile user profiling: Reinforcement learning with spatial knowledge graph for modeling event streams

P Wang, K Liu, L Jiang, X Li, Y Fu - Proceedings of the 26th ACM …, 2020 - dl.acm.org
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 …

LGLMF: local geographical based logistic matrix factorization model for POI recommendation

HA Rahmani, M Aliannejadi, S Ahmadian… - … Technology: 15th Asia …, 2020 - Springer
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 …

[HTML][HTML] Leveraging social influence based on users activity centers for point-of-interest recommendation

K Seyedhoseinzadeh, HA Rahmani, M Afsharchi… - Information Processing …, 2022 - Elsevier
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 …

Personalized context-aware point of interest recommendation

M Aliannejadi, F Crestani - ACM Transactions on Information Systems …, 2018 - dl.acm.org
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 …

Joint geographical and temporal modeling based on matrix factorization for point-of-interest recommendation

HA Rahmani, M Aliannejadi, M Baratchi… - Advances in Information …, 2020 - Springer
With the popularity of Location-based Social Networks, Point-of-Interest (POI)
recommendation has become an important task, which learns the users' preferences and …