精选70The Decoder（RSS）产品发布/更新
Netflix测试内部语言模型替代传统推荐逻辑
Netflix tests language model as alternative to hand-built recommendation logic
Netflix pitted its years-old recommendation engine against an in-house language model called GenRec and says it got better results. Instead of relying on thousands of hand-crafted features, GenRec converts viewing behavior into plain text. Netflix itself calls it "an early but promising step."
Netflix 将其运行多年的推荐引擎与内部开发的语言模型 GenRec 进行对比，并表示后者取得了更好的效果。GenRec 不再依赖数千个手工打造的特征，而是将观看行为转化为纯文本。Netflix 自身称其为“一个早期但充满希望的步骤。”
The article Netflix tests language model as alternative to hand-built recommendation logic appeared first on The Decoder.
文章《Netflix 测试语言模型作为手工构建推荐逻辑的替代方案》首发于 The Decoder。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力