<?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>E-Commerce on Jungbae Park</title><link>https://jungbaepark.github.io/blog/tags/e-commerce/</link><description>Recent content in E-Commerce on Jungbae Park</description><generator>Hugo -- 0.152.2</generator><language>en-us</language><lastBuildDate>Sun, 15 Jun 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://jungbaepark.github.io/blog/tags/e-commerce/index.xml" rel="self" type="application/rss+xml"/><item><title>Search OKR: E-commerce Deals / Price 2.0 Ranking Optimization</title><link>https://jungbaepark.github.io/blog/projects/search-okr-ecommerce/</link><pubDate>Sun, 15 Jun 2025 00:00:00 +0000</pubDate><guid>https://jungbaepark.github.io/blog/projects/search-okr-ecommerce/</guid><description>Delivered measurable search ranking OKR impact at Bucketplace through 4 production A/B experiments (3 winners shipped), achieving +11.17% buyer conversion on category pages and +7.35% deals exposure on store search.</description></item><item><title>CLIP-based E-Commerce Multimodal Search and Classification</title><link>https://jungbaepark.github.io/blog/projects/clip-ecommerce-multimodal/</link><pubDate>Thu, 15 Jun 2023 00:00:00 +0000</pubDate><guid>https://jungbaepark.github.io/blog/projects/clip-ecommerce-multimodal/</guid><description>Shipped CLIP-based multimodal retrieval at Bucketplace, achieving +16.39% query CTCVR, 2x inference speed via quantization, and 92.23% Top-10 accuracy across 2,000+ product categories.</description></item></channel></rss>