<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>机器学习 on 111qqz's blog</title><link>https://111qqz.com/en/tags/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/</link><description>Recent content in 机器学习 on 111qqz's blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2015-2026 111qqz</copyright><lastBuildDate>Sat, 23 Jan 2021 17:42:15 +0800</lastBuildDate><atom:link href="https://111qqz.com/en/tags/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml"/><item><title>【推荐系统】Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F/2021-01-23-toward-the-next-generation-of-recommendersystems/</link><pubDate>Sat, 23 Jan 2021 17:42:15 +0800</pubDate><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F/2021-01-23-toward-the-next-generation-of-recommendersystems/</guid><description>&lt;p&gt;迫于生计，从今天开始学习推荐系统相关的内容，今天先来读一篇推荐系统领域的综述 &lt;a href="https://ieeexplore.ieee.org/document/1423975" target="_blank" rel="noreferrer"&gt;Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions&lt;/a&gt;&lt;/p&gt;</description></item><item><title>rankboost 算法学习笔记</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/%E5%85%B6%E4%BB%96/2019-11-26-boosting-algorithm/</link><pubDate>Tue, 26 Nov 2019 20:59:04 +0800</pubDate><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/%E5%85%B6%E4%BB%96/2019-11-26-boosting-algorithm/</guid><description>&lt;h2 class="relative group"&gt;boosting 算法是什么．
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&lt;p&gt;机缘使然，接触到了 Boosting 算法．Boosting是一种通过组合弱学习器来产生强学习器的通用且有效的方法.&lt;/p&gt;</description></item></channel></rss>