论文笔记+模型实现TransNets: Learning to Transform for Recommendation
文章目录 摘要 1. 介绍 2. 提出的方法 2.1 CNN处理文本 & 2.2 DeepCoNN模型 2.3 DeepCoNN的一下局限性 2.4 TransNets模型 2.5 TransNets模型的训练 2.6 设计决策和一些其他结构的选择 2.6.1 分步训练 VS. 合并训练 2.6.2 单独训练目标网络直至收敛 2.6.3 在源网络和目标网络使用同一个CNN层进行文本处理 2.6.4
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