Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels
Yan Lyu · Haoxuan Li · Tianyu Xia · Xiang Li · Xiangnan Feng · Chunyuan Zheng · Xiao-Hua Zhou
摘要
The post-click Conversion Rate (CVR) prediction plays a pivotal role in industrial recommender systems, directly serving as a decisive factor for ranking strategies and revenue optimization. While Entire Space Multi-Task Models (e.g., ESMM) have become the dominant framework by effectively addres...