Dual-state feature importance perception and adaptive interaction importance modeling for CTR prediction

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DOI:10.1016/j.eswa.2025.129268
作者：Gang Hua ,?Qing Xie ,?Yuhan Wang ,?Lin Li ,?Mengzi Tang ,?Yongjian Liu
文献类型：期刊论文
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Elsevier

Abstract：Click-through rate (CTR) prediction presents a fundamental challenge in modern recommender systems, where marginal improvements in prediction accuracy can yield substantial economic returns.

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