<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>机器学习 - 标签 - 二手知识</title><link>https://chienlungcheung.github.io/tags/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/</link><description>机器学习 - 标签 - 二手知识</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>chienlungcheung@gmail.com (Hari)</managingEditor><webMaster>chienlungcheung@gmail.com (Hari)</webMaster><lastBuildDate>Tue, 12 Sep 2023 00:43:30 +0800</lastBuildDate><atom:link href="https://chienlungcheung.github.io/tags/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/" rel="self" type="application/rss+xml"/><item><title>推荐系统前深度学习时代：从协同过滤到 GBDT+LR</title><link>https://chienlungcheung.github.io/rs-algo-pre-deeplearning/</link><pubDate>Tue, 12 Sep 2023 00:43:30 +0800</pubDate><author><name>Hari</name></author><guid>https://chienlungcheung.github.io/rs-algo-pre-deeplearning/</guid><description>[toc] 本人身处广告营销领域，广告系统本质是个推荐系统，本文旨在梳理相关推荐算法。《深度学习推荐系统》是一本很不错的入门书籍，很系统，不过很多地方</description></item></channel></rss>