NRDL: Decentralized User Preference Learning for Privacy-preserving Next POI Recommendation
Published 2023 View Full Article
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Title
NRDL: Decentralized User Preference Learning for Privacy-preserving Next POI Recommendation
Authors
Keywords
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Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 122421
Publisher
Elsevier BV
Online
2023-11-06
DOI
10.1016/j.eswa.2023.122421
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Note: Only part of the references are listed.- Kernel density estimation based factored relevance model for multi-contextual point-of-interest recommendation
- (2022) Anirban Chakraborty et al. Information Retrieval Journal
- Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation
- (2022) Shaojie Dai et al. Data Science and Engineering
- Leveraging social influence based on users activity centers for point-of-interest recommendation
- (2022) Kosar Seyedhoseinzadeh et al. INFORMATION PROCESSING & MANAGEMENT
- A novel POI recommendation model based on joint spatiotemporal effects and four-way interaction
- (2021) Yongheng Liu et al. APPLIED INTELLIGENCE
- Point-of-Interest Recommendation with User’s Privacy Preserving in an IoT Environment
- (2021) Guoming Zhang et al. MOBILE NETWORKS & APPLICATIONS
- Personalized recommendation of collective points-of-interest with preference and context awareness
- (2021) Dongjin Yu et al. PATTERN RECOGNITION LETTERS
- Providing privacy preserving in next POI recommendation for Mobile edge computing
- (2020) Li Kuang et al. Journal of Cloud Computing-Advances Systems and Applications
- A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization
- (2020) Mehri Davtalab et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Privacy-preserving point-of-interest recommendation based on geographical and social influence
- (2020) Yongfeng Huo et al. INFORMATION SCIENCES
- Towards real-time demand-aware sequential POI recommendation
- (2020) Honglian Wang et al. INFORMATION SCIENCES
- Personalized Long- and Short-term Preference Learning for Next POI Recommendation
- (2020) Yuxia Wu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Real-time event embedding for POI recommendation
- (2019) Pei-Yi Hao et al. NEUROCOMPUTING
- Locally differentially private item-based collaborative filtering
- (2019) Taolin Guo et al. INFORMATION SCIENCES
- A point-of-interest suggestion algorithm in Multi-source geo-social networks
- (2019) Xi Xiong et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Location recommendation privacy protection method based on location sensitivity division
- (2019) Chunyong Yin et al. EURASIP Journal on Wireless Communications and Networking
- A personalized point-of-interest recommendation model via fusion of geo-social information
- (2018) Rong Gao et al. NEUROCOMPUTING
- Fused matrix factorization with multi-tag, social and geographical influences for POI recommendation
- (2018) Zhiyuan Zhang et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Content-aware point-of-interest recommendation based on convolutional neural network
- (2018) Shuning Xing et al. APPLIED INTELLIGENCE
- CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations
- (2015) Jia-Dong Zhang et al. INFORMATION SCIENCES
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