Recommender system (RS) has grown widely in various communities over the last few
years. It creates curiosity among the researchers due to the recent growth of various …

Collaborative filtering has been successfully implemented in many commercial
recommender systems. These systems recommend items favored by other users with similar …

With the growth of artificial intelligence technology, the importance of recommender systems
that recommend personalized content has increased. The general form of the recommender …

Prediction of students' performance has been reported as a vital task which enables
educators to take necessary actions to improve students' learning. Numerous studies have …

Context-aware computing is an ambient-intelligence environment for adapting to the
situations around humans, to their surroundings, and their use of software and hardware …

Social networks are a powerful and efficient tool for e-learning promoting collaboration
between learners. Thus, to better manage the learning process within these environments, it …

Recommender systems are used to suggest items that are useful to users. The
recommendations can be surprising and may be categorized as serendipitous …

Recommender systems have been widely used in many fields, but have been particularly
common in the generation of user feedback. For Taiwanese employment websites …

The recommendation system is used to render personal suggestions to its clients while
choosing a product from a list of items. Collaborative filtering is the most commonly used …

Smartphones are nowadays important tools for tourists. For instance, while on the go in a
destination, tourists can use smartphones to find places of interest and to identify activities …