Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …

Recommender systems in e-learning domain play an important role in assisting the learners
to find useful and relevant learning materials that meet their learning needs. Personalized …

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

E-learning recommender systems are becoming more popular due to the massive learning
materials available online and the changing pedagogy. A content recommender system in …

Recently, the theory and applications of soft set has brought the attention by many scholars
in various areas. Especially, the researches of the theory for combining the soft set with the …

Context-aware recommendation (CARS) has been shown to be an effective approach to
recommendation in a number of domains. However, the problem of identifying appropriate …

Context-aware recommender systems (CARS) adapt their recommendations to users'
specific situations. In many recommender systems, particularly those based on collaborative …

Research in context-aware recommender systems (CARS) usually requires the identification
of the influential contextual variables in advance. In collaborative recommendation, there is …

The continuous technical progress of the smartphone built-in modules and embedded
sensing techniques has created chances for context-aware automation and decision support …

PURPOSE: Clinicians rely on a large amount of medical knowledge when performing
clinical work. In clinical environment, clinical organizations must exploit effective methods of …