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AgentX can autonomously iterate on recommendation algorithms, outpacing human-driven processes and fundamentally changing how we approach system development.
A novel approach that boosts LTV prediction for billions of low-activity users by transforming sparse profiles into actionable insights without heavy LLM reliance.
Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
