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Jul 2026
Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation
LCR-SER first encodes the user's S&R history into a unified latent representation that captures users' global interests, and employs contrastive learning to align the reasoning states with the target items, enabling LCR-SER to refine its reasoning strategy toward improved recommendation performance.
Teng Shi, Weicong Qin, Wei-Jie Yu et al.
· Annual International ACM SIG... · 1 citation