<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Information Retrieval on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/information-retrieval/</link><description>Recent content in Information Retrieval on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/information-retrieval/index.xml" rel="self" type="application/rss+xml"/><item><title>Semantic Search</title><link>https://terms-en.ai-term-hub.com/en/terms/semantic_search/</link><pubDate>Sat, 18 Jul 2026 09:42:48 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/semantic_search/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Semantic search interprets the intent and contextual meaning behind a query, going beyond simple keyword matching. It uses embeddings to represent text as vectors in a high-dimensional space, allowing it to find results that are conceptually similar even if they don&amp;rsquo;t share exact words. This enhances relevance in information retrieval by capturing synonyms, related concepts, and nuanced user intent, making it crucial for modern AI-driven search experiences.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>Search technology that understands the meaning of query terms rather than just matching keywords.&lt;/p></description></item></channel></rss>