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ข้อมูลเชิงลึก - CTR Prediction for Limited-Stock Products
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation
Die Meta-Split-Netzwerk (MSN) Methode verbessert die CTR-Vorhersagen für begrenzte Lagerprodukte in C2C-E-Commerce-Plattformen.
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation
MSNet improves CTR prediction for limited-stock products in C2C e-commerce.
Enhancing Limited-Stock Product Recommendations with Meta-Split Network
The author proposes the Meta-Split Network (MSN) to address the challenges of limited-stock products in C2C e-commerce platforms by segmenting user history based on stock levels and applying a unique meta-learning approach for low-stock items.
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