The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

Recommender systems for technology-enhanced learning are examined in relation to
learners' agency, that is, their ability to define and pursue learning goals. These systems …

Online learning environments (OLE) including learning management systems (LMS) and
massive open online courses (MOOCs) are gaining popularity as the best modern alternate …

Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …

In this paper, a personalized online education platform based on a collaborative filtering
algorithm is designed by applying the recommendation algorithm in the recommendation …

Recommender systems (RSs) are increasingly recognized as intelligent software for
predicting users' opinions on specific items. Various RSs have been developed in different …

The objective of this research is to devise a personalized recommendation system for a
freelancing platform to optimize the freelancer project matching process. This enhancement …

In this study, we built a personalized hybrid course recommendation system (PHCRS) that
considers students' interests, abilities and career development. To meet students' individual …

Recently, there is notable development in usage of online learning resources by the
learners. Increasing offerings of online materials to student creates complexity to locate …

At present, due to use of nearest neighbor query algorithm based on memory, the traditional
user-based collaborative filtering (CF) recommendation system has the shortages of poor …