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      <title>Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking</title>
      <link>https://www.infoq.com/news/2026/05/uber-eats-ranking-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Uber-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/uber-eats-ranking-system/en/headerimage/generatedHeaderImage-1779039533128.jpg"/&gt;&lt;p&gt;Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The system evolves from hand-crafted features to transformer-based sequence modeling, reduces feature freshness from 24 hours to seconds, and shifts from pointwise scoring to listwise GenRec for improved contextual ranking and real-time personalization.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
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      <pubDate>Fri, 22 May 2026 14:32:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-22T14:32:00Z</dc:date>
      <dc:identifier>/news/2026/05/uber-eats-ranking-system/en</dc:identifier>
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