MDVT improves multimodal recommenders by training them on virtual positive/negative item pairs selected by embedding similarity after a warm-up phase.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
MDVT improves multimodal recommenders by training them on virtual positive/negative item pairs selected by embedding similarity after a warm-up phase.