Oct 24, 2024 · Artificial Intelligence

Pre‑Ranking in Recommendation Systems: Model and Sample Optimization Practices at Zhuanzhuan Home Page

This article reviews the role of pre‑ranking in multi‑stage recommendation pipelines, compares dual‑tower and fully‑connected DNN models, discusses negative and positive sample selection strategies, and presents Zhuanzhuan's practical improvements in model architecture and traffic‑pool allocation to boost precision and diversity.

Model Optimizationdual-towerpre‑ranking

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Pre‑Ranking in Recommendation Systems: Model and Sample Optimization Practices at Zhuanzhuan Home Page

DataFunTalk

Aug 12, 2022 · Artificial Intelligence

Multi‑Task Learning for Sample Selection Bias in Financial Risk Control

This article presents a comprehensive study on addressing sample selection bias in credit risk modeling by applying multi‑task learning techniques, including MoE/MMoE, ESMM, hierarchical attention, and semi‑supervised loss, and demonstrates their effectiveness through two real‑world application cases and experimental results.

Financial AIMoErisk control

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Multi‑Task Learning for Sample Selection Bias in Financial Risk Control