Featured · KDD 2026 · Paper

UCB-Based Feature Engineering for Cold-Start in Recommenders

CTR models rank new items poorly until they gather enough clicks. UCB-FE wraps any CTR model with position-aware upper confidence bounds at inference time, boosting cold items — no retraining, no architecture changes — and comes with a new coldNDCG metric to measure it.

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