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Open access
Nov 2026
Dynamic Evidence Calibration and Interest Evolution for Multimodal Video Recommendation
Multimodal video recommendation in feed-based systems requires capturing how user interest evolves within and across videos, yet existing fine-grained methods suffer from three key limitations: (1) they treat preference matching as a static, context-free similarity computation over user history; (2) they assume user at...
Zi-Yi Cao, Rui Liu, Zi-Rui Liang et al.
· Proceedings of the 2nd Inter... · 0 citations