SimPersona uses VQ-VAE to induce discrete buyer types from clickstreams, maps them to LLM persona tokens, and fine-tunes agents to achieve 78% conversion-rate alignment with real buyers across 42 storefronts.
Customer-r1: Personalized simulation of human behaviors via rl-based llm agent in online shopping.arXiv preprint arXiv:2510.07230, 2025b
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FileGram grounds AI agent personalization in file-system behavioral traces via a data simulation engine, a diagnostic benchmark, and a bottom-up memory architecture.
citing papers explorer
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SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce Agents
SimPersona uses VQ-VAE to induce discrete buyer types from clickstreams, maps them to LLM persona tokens, and fine-tunes agents to achieve 78% conversion-rate alignment with real buyers across 42 storefronts.
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FileGram: Grounding Agent Personalization in File-System Behavioral Traces
FileGram grounds AI agent personalization in file-system behavioral traces via a data simulation engine, a diagnostic benchmark, and a bottom-up memory architecture.