most citedLPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.IR2022★ 2 cited

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction

Yi Guo, Zhaocheng Liu, Jianchao Tan +6

In industry, feature selection is a standard but necessary step to search for an optimal set of informative feature fields for efficient and effective training of deep Click-Throug…