Factorized weight interaction neural networks for sparse feature prediction
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DOI: 10.1007/s00521-019-04470-9
Abstract: Non-contiguous and categorical sparse feature data are widely existed on the Internet. To build a machine learning system with these data, it is important to properly model the interaction among features. In this paper, we… read more here.
Keywords: sparse feature; factorized weight; weight interaction; interaction ... See more keywords