Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …

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 …

The provision of privacy-preserving recommendations for geological tourist attractions is an
important research area. The historical check-in data collected from location-based social …

With the growing number of Location-Based Social Networks, privacy-preserving point-of-
interest (POI) recommendation has become a critical challenge when hel** users discover …

Data privacy is critical for users who want to use Cloud storage services. There is a
significant focus on Cloud service providers to address this need. However, in the evolving …

Point-of-Interest (POI) recommendation is one of the most popular recommendation
methodologies. However, POI data is very sensitive and sparse. Users' reluctance to share …

Multi-access edge computing (MEC) technology is envisioned as a promising paradigm to
achieve the user needs of low-latency applications. Complex computation tasks are …

Predicting where a user goes next in terms of his or her previously visited points of interest
(POIs) is significant for facilitating users' daily lives. Simultaneously, it must be …

Cloud computing is utilised for information technology outsourcing of either industries or
organisations. There are several inhibitors and motivations related factors to determine …

The fast development of vehicle positioning technologies has paved the way for in-vehicle
recommendation systems. Successive Point-of-Interest (POI) recommendation, one of the …