DataFunTalk
Apr 24, 2020 · Artificial Intelligence
Common Pitfalls in Recommendation Systems: Metrics, Exploration‑Exploitation, and Offline‑Online Discrepancies
The article surveys typical challenges in recommendation systems, including ambiguous evaluation metrics, the trade‑off between precise algorithms and user experience, the exploration‑exploitation dilemma, and why offline AUC improvements often lead to online CTR/CPM drops due to data leakage, feature inconsistency, and distribution shifts.
AUCctrdata leakage
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