With the widespread popularization of social network platforms, user-generated content and
other social network data are growing rapidly. It is difficult for social users to select interested …

With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …

Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …

Recommender systems (RS) have been increasingly applied to food and health. However,
challenges still remain, including the effective incorporation of heterogeneous information …

The recent boom in online courses has necessitated personalized online course
recommendation. Modelling the learning sequences of users is key for course …

In online learning, personalized course recommendations that align with learners'
preferences and future needs are essential. Thus, the development of efficient recommender …

Teaching images, as an important auxiliary tool in teaching and learning, are fundamentally
different from the general domain images. Besides visually similar images being more likely …

Abstract MOOCs (Massive Open Online Courses) offer tens of thousands of courses and
attract hundreds of millions of online learners. After years of development, these platforms …

Recommender systems typically model user–item interaction data to learn user interests and
preferences. However, user interactions are often sparse and noisy. Moreover, existing …

With the popularity of online learning in educational settings, knowledge tracing (KT) plays
an increasingly significant role. The task of KT is to help students learn more effectively by …