DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction

Click-Through Rate (CTR) prediction is a pivotal task in product and content recommendation, where learning effective feature embeddings is of great significance. However, traditional methods typically learn fixed feature representations without dynamically refining feature representations according...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Zhu, Chen, Du, Liang, Chen, Hong, Zhao, Shuang, Sun, Zixun, Wang, Xin, Zhu, Wenwu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Information Retrieval Computer Science - Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!