3.2k citations · 18.4k across the 142 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017★ 189 cited
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He, Tat-Seng Chua
Many predictive tasks of web applications need to model categorical variables, such as user IDs and demographics like genders and occupations. To apply standard machine learning te…
cs.LG2017★ 119 cited
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He +3
Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions. Despite effectiven…