Predicting contextualised engagement in videos is a long-standing problem that has been popularly attempted by exploiting the number of views or likes using different computational methods. The recent decade has seen a boom in online learning resources. and during the pandemic. there has been an exponential rise of online teaching videos without much quality control. https://www.chiggate.com/us-topo-7-5-minute-map-for-cucharas-reservoir-co-for-sale/
CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback
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