most citedi-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2022★ 5 cited

i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems

Yao Yao, Bin Liu, Haoxun He +4

Input features play a crucial role in DNN-based recommender systems with thousands of categorical and continuous fields from users, items, contexts, and interactions. Noisy feature…