<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Recommendation Systems on Jeanphilo Blog</title><link>https://shio-chan-dev.github.io/jeanblog/tags/recommendation-systems/</link><description>Recent content in Recommendation Systems on Jeanphilo Blog</description><generator>Hugo -- 0.159.2</generator><language>en-us</language><lastBuildDate>Mon, 09 Feb 2026 09:54:25 +0800</lastBuildDate><atom:link href="https://shio-chan-dev.github.io/jeanblog/tags/recommendation-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>PageRank / Personalized PageRank: Node Importance and Incremental Updates in Graph Databases - ACERS Analysis</title><link>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/60-pagerank-and-personalized-pagerank/</link><pubDate>Mon, 09 Feb 2026 09:54:25 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/60-pagerank-and-personalized-pagerank/</guid><description>A systematic explanation of PageRank and Personalized PageRank, from iterative computation and sparse-matrix implementation to incremental update strategies, covering core graph-database scenarios such as recommendation and influence analysis.</description></item></channel></rss>