<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rec on June's Island</title><link>https://zjzjy.github.io/categories/rec/</link><description>Recent content in Rec on June's Island</description><generator>Hugo</generator><language>zh-CN</language><managingEditor>224040086@link.cuhk.edu.cn (Junyin Zheng)</managingEditor><webMaster>224040086@link.cuhk.edu.cn (Junyin Zheng)</webMaster><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Tue, 05 Aug 2025 18:16:29 +0800</lastBuildDate><atom:link href="https://zjzjy.github.io/categories/rec/index.xml" rel="self" type="application/rss+xml"/><item><title>Rec - Large Scale Product Graph Construction for Recommendation in E-commerce</title><link>https://zjzjy.github.io/rec-paper-large-scale-product-graph-construction-for-recommendation-in-e-commerce/</link><pubDate>Mon, 28 Jul 2025 10:08:40 +0800</pubDate><author>224040086@link.cuhk.edu.cn (Junyin Zheng)</author><guid>https://zjzjy.github.io/rec-paper-large-scale-product-graph-construction-for-recommendation-in-e-commerce/</guid><description>&lt;h2 id="这篇论文想要解决什么问题">这篇论文想要解决什么问题？&lt;/h2>
&lt;p>解决&lt;strong>大规模电商推荐系统中产品关系图构建&lt;/strong>的关键挑战。
论文关注的核心问题包括：&lt;/p>
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&lt;p>&lt;strong>产品间关系的捕捉&lt;/strong>：理解并捕捉产品之间的关系是现代电子商务推荐系统的基础。这些关系可以被视为产品重构索引，能够根据给定的种子产品返回排名列表。&lt;/p></description></item></channel></rss>