CTR模型中数值特征的embedding - [KDD'21] An Embedding Learning Framework for Numerical Features in CTR Prediction 07-26
[WWW'23] Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace 02-25
[CIKM'22] Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models 09-19
[PAMI'22] Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification 09-03
[KDD'22] Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries 08-27