<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recommendation Systems on C.CUI's Log</title><link>https://cuicaihao.github.io/tags/recommendation-systems/</link><description>Recent content in Recommendation Systems on C.CUI's Log</description><generator>Hugo</generator><language>en-AU</language><lastBuildDate>Wed, 19 Aug 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/tags/recommendation-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>How Generative AI is Reshaping Recommendation Systems</title><link>https://cuicaihao.github.io/posts/2026-08-19-how-generative-ai-is-reshaping-recommendation-systems/</link><pubDate>Wed, 19 Aug 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-08-19-how-generative-ai-is-reshaping-recommendation-systems/</guid><description>This article traces the evolution of recommendation systems from collaborative filtering and deep learning to the transformative impact of generative AI. It delves into how generative AI alters user interaction through natural language, integrates cross-application context, and participates in content organization and generation, moving beyond traditional retrieval and ranking. The post further distinguishes between current product implementations and research prototypes, discussing their implications for user choice, content production, and information verification.</description></item></channel></rss>