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Nov, 2017
Amazon目录属性适用性的可解释潜变量模型
An interpretable latent variable model for attribute applicability in the Amazon catalogue
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Tammo Rukat, Dustin Lange, Cédric Archambeau
TL;DR
通过开发MaxMachine，一种概率潜变量模型，学习与一组特征相关联的分布式二进制表示，该模型可以提高产品属性适用性的性能表现。
Abstract
Learning
attribute applicability
of products in the Amazon catalog (e.g., predicting that a shoe should have a value for size, but not for battery-type at scale is a challenge. The need for an
interpretable model
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