https://www.chenk.top/en/tags/ctr-prediction/Recent content in CTR Prediction on Chen Kai BlogHugoenWed, 10 Dec 2025 09:00:00 +0000https://www.chenk.top/en/recommendation-systems/04-ctr-prediction/Wed, 10 Dec 2025 09:00:00 +0000https://www.chenk.top/en/recommendation-systems/04-ctr-prediction/<p>Every time you scroll through a social-media feed, click a product recommendation, or watch a suggested video, a CTR (click-through rate) model decides what to show you. These models answer one deceptively small question:</p> <blockquote> <p><strong>&ldquo;What is the probability that this specific user will click on this specific item, right now?&rdquo;</strong></p> </blockquote> <p>Behind that question lies one of the most economically valuable problems in machine learning. A 1% lift in CTR translates into millions of dollars at the scale of Google, Amazon, or Alibaba — and the same models also drive video feeds, app stores, news apps, and dating apps. CTR prediction sits at the heart of the <strong>ranking</strong> stage: candidate generation gives you a few thousand items, and the CTR model decides which dozen actually reach the user.</p>