567 citations · 656 across the 10 of their papers we have counts for
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cs.LG2023★ 4 cited
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach +4
Learning high-quality feature embeddings efficiently and effectively is critical for the performance of web-scale machine learning systems. A typical model ingests hundreds of feat…
cs.LG2017★ 46 cited
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang, Bin Fu, Gang Fu +1
Feature engineering has been the key to the success of many prediction models. However, the process is non-trivial and often requires manual feature engineering or exhaustive searc…