《Learning Deep Structured Semantic Models for Web Search using Clickthrough Data 》论文总结
1.背景 DSSM是Deep Structured Semantic Model的缩写，即我们通常说的基于深度网络的语义模型，其核心思想是将query和doc映射到到共同维度的语义空间中，通过最大化query和doc语义向量之间的余弦相似度，从而训练得到隐含语义模型，达到检索的目的。DSSM有很广泛的应用，比如：搜索引擎检索，广告相关性，问答系统，机器翻译等。 2. DSSM 2.1简介 DSSM
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相关文章
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- 2. 深度学习算法原理——Deep Structured Semantic Models（DSSM）
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