Interactive Attention-Based Capsule Network for Click-Through Rate Prediction

With the continuous penetration of Internet applications in our lives, the ever-increasing data on clicking behavior has made online services a critical component of the economic sectors of internet companies over the past decade. This development trend has brought a large amount of information that...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.170335-170345
Hauptverfasser:	Xue, Sheng, He, Congqing, Hua, Zhuxuan, Li, Songtian, Wang, Guangwei, Cao, Liwen
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models capsules click-through rate prediction Convolutional neural networks Feature extraction Heuristic algorithms Interactive attention Prediction algorithms Predictive models Routing Vectors
Online-Zugang:	Volltext
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