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​Google uses AI to help you find that obscure Android app

A neural network -- and a human touch -- help Google figure out which apps belong in which categories.

Stephen Shankland Former Principal Writer
Stephen Shankland worked at CNET from 1998 to 2024 and wrote about processors, digital photography, AI, quantum computing, computer science, materials science, supercomputers, drones, browsers, 3D printing, USB, and new computing technology in general. He has a soft spot in his heart for standards groups and I/O interfaces. His first big scoop was about radioactive cat poop.
Expertise Processors, semiconductors, web browsers, quantum computing, supercomputers, AI, 3D printing, drones, computer science, physics, programming, materials science, USB, UWB, Android, digital photography, science. Credentials
  • Shankland covered the tech industry for more than 25 years and was a science writer for five years before that. He has deep expertise in microprocessors, digital photography, computer hardware and software, internet standards, web technology, and more.
Stephen Shankland
​Google Play Store

The Google Play Store

Screenshot by Stephen Shankland/CNET

Google has begun using artificial intelligence to categorize Android apps on its Google Play store, the company said Tuesday.

Using technology called a neural network, which is based loosely on the way human brains work, Google processes app names and descriptions to try to figure out which ones to show in search results. It's not hard to show the Snapchat app when people search for it by name, but the AI technology is designed to do a better job when people just type in categories like "selfie," Google AI researchers said in a blog post Tuesday.

But the technology still needed a human touch. Google had to train its system by letting people assess how well the categorization worked and thus steer it toward better results.

With hundreds of thousands of apps to pick from, discovery is a major challenge for app stores. When you search or browse for apps, companies like Google and Apple have to balance new apps with popular standbys, weed out malicious apps, and curtail developer efforts to get their own apps to show up high in search results.