Ontology and knowledge-based systems typically provide e-learning recommender systems.
However, ontology use in such systems is not well studied in systematic detail. Therefore …

Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …

In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …

In this paper, from the perspective of opinion dynamics theory, we investigate the interaction
mechanism of a group of autonomous agents in an e-commerce community (or social …

In recent years, different types of review systems have been developed with the
recommender system (RS). RSs are developed based on user textual reviews, ratings, and …

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 …

Incorporating social network information and contexts to improve recommendation
performance has been drawing considerable attention recently. However, a majority of …

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

Optional course selection is a critical activity for college students due to a large number of
available but unfamiliar optional courses. Improper selection of optional courses would …

This paper extensively reviews the literature of community detection in complex networks
and proposes a general classification describing the main models used for this purpose …