<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>machine learning | Allen Shen</title><link>https://www.allenshen.com/tag/machine-learning/</link><atom:link href="https://www.allenshen.com/tag/machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>machine learning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><image><url>https://www.allenshen.com/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>machine learning</title><link>https://www.allenshen.com/tag/machine-learning/</link></image><item><title>User Segments and Profile</title><link>https://www.allenshen.com/project/segments-profile/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.allenshen.com/project/segments-profile/</guid><description>&lt;p>Analyzed user preferences and purchasing intentions based on advertising data, interested tags, landing page, registration and demographic information;&lt;/p>
&lt;p>Systematized product recommendations and targeted advertisements to potential buyers&lt;/p>
&lt;p>Utilized: SpringBoot, Presto, MongoDB, MySQL, Redis&lt;/p></description></item></channel></rss>