hierarchical understanding 1memory benchmarks 1personalized agents 1synthetic user data 1user modeling 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…
cs.LG2024
EasyTime: Time Series Forecasting Made Easy
Xiangfei Qiu, Xiuwen Li, Ruiyang Pang +11
Time series forecasting has important applications across diverse domains. EasyTime, the system we demonstrate, facilitates easy use of time-series forecasting methods by researche…