
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.


coremsg

enhancing-limited-stock-product-recommendations-with-meta-split-network


Enhancing Limited-Stock Product Recommendations with Meta-Split Network


title_rewrite


MSNet improves CTR prediction for limited-stock products in C2C e-commerce.


metasplit-meta-split-network-for-limited-stock-product-recommendation


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.
