TAGR: Temporally Adaptive Generative Recommendation for Industrial Live-Streaming Advertising
TAGR, a generative recommendation framework with temporal adaptation at three levels: live-ad tokenization, user intent modeling, and preference alignment, is proposed, demonstrating the effectiveness and industrial viability of temporally adaptive generative recommendation for live-stream advertising.