Cultural Heritage (CH) domain is rapidly moving from traditional heritage sites into smart
cultural heritage environment through various technologies. As one of the important …

Context-aware recommender systems (CARSs) are attracting more and more attention from
both the academic community and from industry. Users' contextual situations (eg, location …

Context-aware recommender systems (CARS) use data about the user and the context to
enhance their recommendation outcomes, such data is stored in user models. As the is no …

In the digital transformation era, increasingly more individuals and organizations use or
create services in digital spaces. Many business transactions have been moving from the …

Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …

In order to generate relevant recommendations, a context-aware recommender system
(CARS) not only makes use of user preferences, but also exploits information about the …

Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …

Recommender systems represent a popular area of personalization technologies that has
enjoyed a tremendous amount of research and development activity in both academia and …

Recommender Systems have been/are being researched and deployed extensively in
various disciplines such as tourism and education. Most traditional recommender systems …

Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …