<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[How Does a Recommendation Engine Work in a Short-Video Streaming Platform?]]></title><description><![CDATA[<p dir="auto">Yes, in recent times, the influence of AI has become quite strong. A short-video recommendation engine decides which videos to show based on how users interact with content. It can look at watch time, likes, shares, searches, follows, and skipped videos to understand viewing habits. These signals help the system sort and rank videos before showing them in the feed.</p>
<p dir="auto">This approach is commonly used when developing short-video platforms, with companies such as Trioangle Technologies and other development teams using similar methods.<br />
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]]></description><link>https://forum.thirdeyegen.com/topic/6867/how-does-a-recommendation-engine-work-in-a-short-video-streaming-platform</link><generator>RSS for Node</generator><lastBuildDate>Mon, 21 Sep 2026 09:17:04 GMT</lastBuildDate><atom:link href="https://forum.thirdeyegen.com/topic/6867.rss" rel="self" type="application/rss+xml"/><pubDate>Wed, 02 Sep 2026 04:26:08 GMT</pubDate><ttl>60</ttl></channel></rss>