SIGIR 2024 M2.6 [fp] Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
About this video
Advanced · Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidenceDevelops multimodality invariant learning for multimedia recommendation of new items. Teaches modality-agnostic feature learning for cold-start scenarios.
A 14-minute video from Association for Computing Machinery (ACM): “SIGIR 2024 M2.6 [fp] Multimodality Invariant Learning for Multimedia-Based New Item Recommendation”.
Video by Association for Computing Machinery (ACM), played through YouTube's embedded player.
Part of ACM SIGIR Conference 2024