Threats and corrective measures for IoT security with observance of cybercrime: A survey
Internet of Things (IoT) is the utmost assuring framework to facilitate human life with quality
and comfort. IoT has contributed significantly to numerous application areas. The stormy …
and comfort. IoT has contributed significantly to numerous application areas. The stormy …
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 …
Location-based Social Networks (LBSNs) due to its effectiveness in helping people decide …
A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
Toward point-of-interest recommendation systems: A critical review on deep-learning Approaches
In recent years, location-based social networks (LBSNs) that allow members to share their
location and provide related services, and point-of-interest (POIs) recommendations which …
location and provide related services, and point-of-interest (POIs) recommendations which …
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 …
next Point-of-Interest (POI) recommendation aims to help people discover attractive and …
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
The rapid expansion of Location-Based Social Networks (LBSNs) has highlighted the
importance of effective next Point-of-Interest (POI) recommendations, which leverage …
importance of effective next Point-of-Interest (POI) recommendations, which leverage …
POI recommendation method using LSTM-attention in LBSN considering privacy protection
K Wang, X Wang, X Lu - Complex & Intelligent Systems, 2023 - Springer
Aiming at the problems of traditional point of interest (POI), such as sparse data, lack of
negative feedback, and dynamic and periodic changes of user preferences, a POI …
negative feedback, and dynamic and periodic changes of user preferences, a POI …
A systematic review of privacy techniques in recommendation systems
TB Ogunseyi, CB Avoussoukpo, Y Jiang - International Journal of …, 2023 - Springer
The problem of information overload and the necessity for precise information retrieval has
led to the extensive use of recommendation systems (RS). However, ensuring the privacy of …
led to the extensive use of recommendation systems (RS). However, ensuring the privacy of …
An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy
C Xu, X Mei, D Liu, K Zhao, AS Ding - Complex & Intelligent Systems, 2023 - Springer
With the rapid development of point-of-interest (POI) recommendation services, how to
utilize the multiple types of users' information safely and effectively for a better …
utilize the multiple types of users' information safely and effectively for a better …
Ranking-based federated POI recommendation with geographic effect
Q Dong, B Liu, X Zhang, J Qin… - 2022 international joint …, 2022 - ieeexplore.ieee.org
Point of Interest (POI) recommendation system rec-ommends places in which users have
never been to but may be in-terested. Traditionally, it centrally collects contextual information …
never been to but may be in-terested. Traditionally, it centrally collects contextual information …