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cs.IR2024
The Crowd in MOOCs: A Study of Learning Patterns at Scale
Xin Zhou, Aixin Sun, Jie Zhang +1
The increasing availability of learning activity data in Massive Open Online Courses (MOOCs) enables us to conduct a large-scale analysis of learners' learning behavior. In this pa…
cs.IR2024
Multimodal Pretraining and Generation for Recommendation: A Tutorial
Jieming Zhu, Chuhan Wu, Rui Zhang +1
Personalized recommendation stands as a ubiquitous channel for users to explore information or items aligned with their interests. Nevertheless, prevailing recommendation models pr…
cs.IR2024
Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability
Xin Zhou, Chunyan Miao
Multimodal recommender systems amalgamate multimodal information (e.g., textual descriptions, images) into a collaborative filtering framework to provide more accurate recommendati…