Indirect Interactions Discovering and True Negative Sampling for Multimodal Recommendation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2025.3571909
Abstract: Multimodal recommendation has become a key technology for social media platforms. It is widely used in content recommendation, user preference analysis, advertisement placement, etc. Existing recommendation methods mainly focus on learning multimodal embeddings from direct… read more here.
Keywords: users items; multimodal recommendation; indirect interactions; true negative ... See more keywords
LETTER: Self-Harmonized Representation Learning for Multimodal Recommendation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3623549
Abstract: Multimodal recommender systems try to integrate multimedia data (images, texts, etc.) with user-item historical records to better model user preference. However, most previous methods largely ignored the underlying fine-grained attribute features of items, which makes… read more here.
Keywords: letter; self harmonized; multimodal recommendation; user item ... See more keywords