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Author

Shuo Chang

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#machine learning Book Open access Sep 2026

Mend the Measurement Gap: Latent User Preference Modeling for Short-Form Video Recommendation

A Factorized Latent Value Model (FLVM) is proposed for measuring user preference from heterogeneous behavioral feedback and improves offline metrics and lifts a primary viewer enjoyment metric by 2.67% in online A/B tests.

Shuo Chang, Yue-Qi Wang, Zi-Huan Diao et al. · 0 citations
Book Open access Aug 2026

Generalizable Multi-Pass Training of Ads Recommendation Models with Foundation Model Guidance

High-capacity Click-Through Rate (CTR) models for ads recommendation often exhibit pronounced one-epoch overfitting: performance peaks after a single training pass (epoch) over the data, while additional epochs degrade generalization as the model memorizes noise in high-variance click labels. To address this challenge,...

Yunzhe Qi, Qinghai Zhou, Bo-Yang Liu et al. · 0 citations

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