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LangBP is proposed, a hierarchical framework for language-guided joint bidding and pricing that outperforms strong baselines, and online A/B tests further demonstrate business gains in real-world deployment on a large-scale e-commerce platform.
Industrial generative recommendation systems operating over discrete Semantic IDs (SIDs) are largely behavior-driven, and thus struggle to proactively activate latent demand before explicit user signals emerge, leading to intent cold-start. To address this, we propose RIGER (Reasoning-grounded Intent injection for GE n...
This paper proposes DPEO (Dynamic Preference Evolution Optimization), a co-evolutionary framework that transforms CTR modeling into a dynamic policy contention task, enabling the sub-learners to serve as alternating evolutionary benchmarks and 'self-evolve' toward the global optimum.
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