Yao Zhou
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126
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Info Retrieval×1ML×1
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2026
Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search
This paper proposes a Bi-level Neural Architecture Search (Bi-NAS) framework to optimize explanations in recommender systems, refining cross-attention mechanisms and feature interaction functions while integrating Large Language Models for effective explanation generation.
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cs.IRcs.LGEmpiricalRecentJul 1, 2026
Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search
Longfeng Wu, Yao Zhou, Tong Zeng, Zhimin Peng +4 more
This paper proposes a Bi-level Neural Architecture Search (Bi-NAS) framework to optimize explanations in recommender systems, refining cross-attention mechanisms and feature interaction functions whil…
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