Multimodal Recommendation
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Benchmarks
Amazon Baby
Amazon Beauty
Amazon Digital Music
Amazon Office Products
Amazon Toys & Games
Most implemented
Latent-Aligned Reasoning for Multimodal Recommendation
A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
Quadratic Interest Network for Multimodal Click-Through Rate Prediction
Papers
Latent-Aligned Reasoning for Multimodal Recommendation
Multimodal Vision-Language Models (VLMs) have demonstrated remarkable capabilities in cross-modal understanding, yet a fundamental challenge persists when applying them to recommendation: as representations propagate thr…
Multimodal RecommendationContrastive LearningMURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning
Multimodal Graph Neural Networks have become standard for recommendation by augmenting sparse interaction data with content features. Yet current architectures face two bottlenecks: structural rigidity, from a reliance o…
Multimodal RecommendationPOI Recommendation with LLM-Augmented Multi-Graph Learning and Contrastive Alignment
Point-of-interest (POI) recommendation models based on graph neural networks achieve strong performance by propagating collaborative signals over user-item interactions, yet they struggle with the cold-start problem, whe…
Multimodal RecommendationCollaborative FilteringGraph Neural NetworkContrastive LearningWhat to Edit Next: Visually Aligned Image-Editing Follow-Up Suggestions in Conversational Systems
Conversational assistants increasingly recommend follow-up edits to help users continue a task. Existing systems primarily target text-only interactions, leaving image-creation conversations underexplored. In image-creat…
Multimodal RecommendationReinforcement LearningReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation
Recent advances in multimodal recommenders excel at feature fusion but remain opaque and inefficient decision-makers, lacking explicit reasoning and self-awareness of uncertainty. We introduce ReasonRec, a reasoning-augm…
Multimodal RecommendationTimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
Multimodal recommendation improves user modeling by integrating collaborative signals with heterogeneous item content. In real applications, user interests evolve over time and exhibit nonstationary dynamics, where diffe…
Multimodal Recommendation