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Aug, 2016
产品搜索的潜在向量空间学习
Learning Latent Vector Spaces for Product Search
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Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas
TL;DR
本文提出了一种新型的潜向量空间模型,可在无需明确注释的情况下,联合学习单词、电子商务产品的潜在表示以及两者之间的映射,能直接建模产品与特定单词之间的鉴别关系,并在学习排序库特征方面证明其性能优越性。
Abstract
We introduce a novel
latent vector space model
that jointly learns the latent representations of words,
e-commerce
products and a mapping between the two without the need for explicit annotations. The power of th
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