Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation

Understand

Recent years have witnessed growing interests in multimedia recommendation, which aims to predict whether a user will interact with an item with multimodal contents.

• Previous studies focus on modeling user-item interactions with multimodal features included as side information.
• However, this scheme is not well-designed for multimedia recommendation.
• Firstly, only collaborative item-item relationships are implicitly modeled through high-order item-user-item co-occurrences.