Knowledge-guided course recommendation in MOOCs with cross-graph and forgetting-aware cross-attention

Puntos clave

• Improved course recommendation accuracy indicates potential benefits for learner engagement and knowledge acquisition.
• The analysis leverages a cross-graph framework, enhancing the recommendation process based on diverse learning resources.
• By utilizing forgetting-aware cross-attention, the model adapts to learners' evolving preferences and needs over time.
• The approach may enable more effective personalized learning experiences in the MOOC environment, addressing the diverse needs of learners.