Disentangled Multimodal Representation Learning for Recommendation
Disentangled Multimodal Representation Learning for Recommendation
Many multimodal recommender systems have been proposed to exploit the rich side information associated with users or items (e.g., user reviews and item images) for learning better user and item representations to improve the recommendation performance. Studies from psychology show that users have individual differences in the utilization of various …