Author

Ning Zeng

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Jul 2026

NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation

This work proposes a framework--Neural Memory Kalman Fusion Recommender (NMKFR), which combines a Titans-based semantic encoder with time-aware Kalman state tracking and uses posterior covariance as an uncertainty signal to calibrate semantic memory retrieval and adaptive static-temporal fusion.

Cheng-Zhi Liu, Ning Zeng, Zehui Qu · arXiv.org · 0 citations