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hierarchical understanding 1memory benchmarks 1personalized agents 1synthetic user data 1user modeling 1

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1 paper

cs.AI2026

Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data

Lingyang Zeng, Guangze Chen, Kaichen Yu +9

Setoka is a benchmark that evaluates how well memory‑augmented personalized agents understand users at multiple hierarchical levels—semantic, episodic, behavior patterns, and perso…