Feature Crossing
Feature Crossing is a feature construction technique that generates interaction features by combining two or more existing categorical or discrete features through Cartesian product expansion to capture higher-order relationships in domain-specific models.
11
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1.7K
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48
Authors
26
Institutions
Publications per year
2017–2026
6
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Deep & Cross Network for Ad Click Predictions
Ruoxi Wang, Bin Fu, Gang Fu et al. · 2017 · 1.1K citations · Full text
Yuanfei Luo, Mengshuo Wang, Hao Zhou et al. · 2019 · 95 citations
Feature interactions, products, and composition
Don Batory, Peter Höfner, Jong-Wook Kim · 2011 · 92 citations
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Université de Technologie de Compiègne
Compiègne, France
2 h-index
3 publications
244 citations
Stanford University
Stanford, United States
2 h-index
2 publications
1.2K citations
Google (United States)
Mountain View, United States
2 h-index
6 publications
3.5K citations

Kobe University
Kobe, Japan
1 h-index
4 publications
68 citations
Technische Universität Dresden
Dresden, Germany
1 h-index
1 publications
40 citations
University of Sussex
Brighton, United Kingdom
1 h-index
3 publications
390 citations
Sensimetrics Corporation
Malden, United States
1 h-index
1 publications
24 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
21 citations
1–8 of 26
TKDE · 1 publications · 24 citations
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1 publications · 130 citations
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Repository · 1 publications · 45 citations
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PRB · 1 publications · 17 citations
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1 publications · 91 citations
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