Multimodal Non-Semantic Feature Fusion for Predicting Segment Access Frequency in Lecture Archives

Ruozhu Sheng, Jinghong Li, Shinobu Hasegawa

This study proposes a multimodal neural network-based approach to predict segment access frequency in lecture archives. These archives, widely used as supplementary resources in mo…