An interesting challenge for explainable recommender systems is to provide successful
interpretation of recommendations using structured sentences. It is well known that user …

Recommender systems (RS) are often used as guides, helping users to discover products of
their interest. Many techniques and approaches to generate an effective recommendation …

Fragmented learning aims to fully utilize fragmented time slices to learn and accumulate
fragmented knowledge. The current mobile online learning apps fail to fully consider the …

Readability is a core component of information retrieval (IR) tools as the complexity of a
resource directly affects its relevance: a resource is only of use if the user can comprehend …

Online learning platforms are prone to information overload, as they contain a huge number
of diverse resources. To solve the problem, domestic and foreign scholars have focused …

As an important way to solve the learner's information loss within an e-learning system and
support personalized learning, learning resource recommendation has attracted more and …

Many e-commerce sites encourage their users to write product reviews, in the knowledge
that they exert a considerable influence on users' decision-making processes. These …

Students are nowadays given many options to consume educational content in digital
formats as alternatives to printed material. Previous research suggests that while digital …

The proper integration of the fuzzy clustering and neural network will help to enhance the
accuracy of recommendation system. In this paper, the author designed an intelligent …

Sustainable management is a global issue which becomes increasingly vital for everyone in
this disruptive world. However, the issue seems vague to new generations. To educate the …