Q-BERT4Rec: Advancing Multimodal Recommendation with Quantized Semantic Representation

This research explores a novel approach to multimodal recommendation systems using quantized semantic representations, potentially improving efficiency and performance. The use of "Q-BERT4Rec" indicates a reliance on BERT-based architectures for feature extraction and potentially knowledge transfer.

• •Focuses on multimodal recommendation.
• •Employs quantized semantic representation.
• •Potentially leverages BERT-based architectures.