Recommender systems (RS) are among the most widely used applications in data mining
and machine-learning technologies. These technologies recommend relevant products to …

The growing popularity of social networks and their easy acceptance of new users have the
unintended consequence of fostering an environment where anonymous users can act in …

The social networks are widely used by millions of people worldwide. The trust concept is
one of the most important issues in Social Network Analysis (SNA) which highly affects the …

Medical tourism is a domain rich of data that are stored in many hundreds of data sources.
Many of these sources should be used during the development of tourism information …

Over the last decade, ontologies have been increasingly used in recommender systems.
Domain ontologies are mainly used to analyze the user behaviour with reference to …

Rating prediction is an important technology in the personalized recommendation field.
Prediction results are influenced by many factors, such as time, and their accuracy directly …

Providing guaranteed QoS for grid services using resource reservation and allocation is an
important feature for today's service grid. Reservation requests with existing mechanisms …

Based on the assumption that users generally have a tendency to use items recommended
by friends rather than strangers and that trust among friends positively correlates with user …

Based on the assumption that users generally tend to use entities proposed by friends rather
than strangers and that trust among friends significantly correlates with user's trends, we …

The importance of personalized recommender systems has recently increased and its role in
providing better experiences to different users has been demonstrated. The quality of the …