七、Pytorch与广告推荐.ipynb

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    "# 七、Pytorch与广告推荐\n",
    "\n",
    "\n",
    "根据业务和技术方向的差异性，目前工业界的算法工程师主要可以分成 广告算法工程师、推荐算法工程师、风控算法工程师、CV算法工程师、NLP算法工程师、 等等。\n",
    "\n",
    "除了一些多模态数据外(文本、图像、社交网络等)，广告算法工程师、推荐算法工程师、风控算法工程师处理的数据类型主要还是是结构化数据，\n",
    "\n",
    "风控领域目前工业界用到的模型还是树模型为主，广告和推荐领域目前工业界是深度模型为主。\n",
    "\n",
    "由于数据结构的相似性，广告的CTR预估模型和推荐系统的精排模型，基本是通用的。\n",
    "\n",
    "本章将首先概述推荐算法和广告算法的基础业务知识，然后深入了解一些经典的CTR预估/精排模型，并在Criteo数据集或者Movielens数据集上演示完整范例。\n",
    "\n",
    "\n",
    "包括：FM、DeepFM、FiBiNET、DeepCross、DIN、DIEN。\n",
    "\n"
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