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Jiancheng Wang (University of Science and Technology of China &amp

SIGIR 2026可解释性评测与基准检索与知识
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1 一作 · 1 篇 · SIGIR 2026

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2026 顶会论文

1
一作SIGIR 2026Poster· Information Retrieval (Short)

Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective

Jiancheng Wang (University of Science and Technology of China &amp · Mingjia Yin (University of Science and Technology of China &amp · Mingjia Yin (University of Science and Technology of China &amp · Enhong Chen (University of Science and Technology of China &amp · Mingjia Yin (University of Science and Technology of China &amp · Mingjia Yin (University of Science and Technology of China &amp · Enhong Chen (University of Science and Technology of China &amp · Mingjia Yin (University of Science and Technology of China &amp

摘要

DNNs have gained widespread adoption in feature interaction recommendation models. However, there has been a longstanding debate on their roles. On one hand, some works claim that DNNs possess the ability to implicitly capture high-order feature interactions. Conversely, recent studies have highl...

可解释性评测与基准检索与知识OpenReview

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