Long-sequence modeling is increasingly important in recommender systems for capturing users’ evolving and long-term interests. In advertising, however, user interaction histories are often highly sparse due to limited exposure opportunities, making ad-only behavior sequences insufficient for effective long-sequence rec...
Xian Hu, Ming Yue, Zhi-Xiang Feng et al.· Proceedings of the 20th ACM...· 0 citations
UniTraj, a practical framework that extends sequence construction beyond the advertising domain by incorporating behaviors from content-consumption scenarios, forming unified commercial trajectories across domains and scenarios, is proposed and deployed in a large-scale online advertising system.
Xian Hu, Ming Yue, Zhi-Xiang Feng et al.· Proceedings of the 20th ACM...· 0 citations
GRB (Generative Reinforcement Bidding) is introduced, a large-scale generative bidding framework with an Offline-to-On-Policy (O2P) training paradigm that consistently outperforms strong online and offline baselines and incorporates an adaptive constrained exploration module to mitigate reward hacking.
Hongchang Wu, Weitong Ou, Heng-Quan Guo et al.· Proceedings of the 32nd ACM...· 0 citations
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