@article{zhen2026,
title = {Personalizing How Recommendation Agents Reason: Self-Evolving Per-User Skills for Recommendation Agents},
author = {Tao, Zhen and Lai, Riwei and Yu, Chenyun and Chen, Weixin and Chen, Li and Kong, Beibei and Cheng, Lei and Zhuo, Chengxiang and Li, Zang and Sun, Qingqiang},
journal = {Findings of the Association for Computational Linguistics: EMNLP 2026},
year = {2026},
month = {Jan},
}
Tao, Zhen et al. (2026). Personalizing How Recommendation Agents Reason: Self-Evolving Per-User Skills for Recommendation Agents. Findings of the Association for Computational Linguistics: EMNLP 2026.
Tao, Zhen, et al.. "Personalizing How Recommendation Agents Reason: Self-Evolving Per-User Skills for Recommendation Agents." Findings of the Association for Computational Linguistics: EMNLP 2026, 2026.
Tao, Zhen, et al.. "Personalizing How Recommendation Agents Reason: Self-Evolving Per-User Skills for Recommendation Agents." Findings of the Association for Computational Linguistics: EMNLP 2026 (2026).
Tao, Zhen et al., 2026. Personalizing How Recommendation Agents Reason: Self-Evolving Per-User Skills for Recommendation Agents. Findings of the Association for Computational Linguistics: EMNLP 2026.
TY - JOUR
TI - Personalizing How Recommendation Agents Reason: Self-Evolving Per-User Skills for Recommendation Agents
AU - Tao, Zhen
AU - Lai, Riwei
AU - Yu, Chenyun
AU - Chen, Weixin
AU - Chen, Li
AU - Kong, Beibei
AU - Cheng, Lei
AU - Zhuo, Chengxiang
AU - Li, Zang
AU - Sun, Qingqiang
PY - 2026
JO - Findings of the Association for Computational Linguistics: EMNLP 2026
ER -