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arxiv_cs_lg · Nov 5, 2026 · paper
arxiv.orgNov 5, 2026
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In brief
User embeddings are central components of modern recommendation, personalization, and behavioral modeling systems. Though these embeddings can compactly encode rich behavioral information, they are inherently dense and opaque, limiting interpretability. To address this gap, we ar