AI RESEARCH
SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing
arXiv CS.AI
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ArXi:2512.24008v3 Announce Type: replace Personalized search demands the ability to model users' evolving, multi-dimensional information needs; a challenge for systems constrained by static profiles or monolithic retrieval pipelines. We present SPARK (Search Personalization via Agent-Driven Retrieval and Knowledge-sharing), a framework in which coordinated persona-based large language model (LLM) agents deliver task-specific retrieval and emergent personalization. SPARK formalizes a persona space defined by role, expertise, task context, and domain, and.