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 …

With the explosive growth of e-commerce, recommender systems are widely used to
generate personalized recommendation for customers. SVD-based collaborative filtering …

Context-aware recommendation systems are of increasing popularity in the digital era to
recommend personalized items to users. However, how to ensure user data privacy while …

Due to increased attraction in cloud computing, mobile devices could store or acquire
private and confidential information from everywhere at any point in time. In parallel, the …

In recent years, the type and quantity of news are growing rapidly, and it is not easy for users
to find the news they are interested in the massive amount of news. A news recommendation …

Due to the rapid development of technology and the widespread usage of smartphones, the
number of mobile applications is exponentially growing. Finding a suitable collection of apps …

With the rapid development of location-based services and online social networks, POI
recommendation services considering geographic and social factors have received …

Point-of-interest (POI) recommender systems (RSes) have gained significant popularity in
recent years due to the prosperity of location-based social networks (LBSN). However, in the …

The widespread adoption of Proximity-based Social Networking (PBSN) applications has
been accompanied with several privacy concerns involving location information. As a result …

Location-based services (LBS) have become increasingly popular, with millions of people
using mobile devices to access information about nearby points of interest (POIs) …