Topic Guided Multi-faceted Semantic Disentanglement for CTR Prediction
🧠 IntroductionClick-through rate (CTR) prediction is vital in online advertising and recommendation systems. With Pretrained Language Models (PLMs), text-rich user/item features are now integrated into CTR models to enhance semantic understanding. However, most models aggregate all textual data into a single embedding, leading to entangled representations that weaken fine-grained feature interactions.
To overcome this, we propose a new framework: MSD-CTR (Multi-faceted Semantic Disentanglement ...
Golang
Golang 面试题1. Golang的GMP模型2. Golang的协程和线程的区别
