Google Chrome Will Use Machine Learning To Make Browsing Less Horrible


Google has revealed plans to use machine learning to make web browsing less crap.

The company says(Opens a new tab) it already uses machine learning to enable certain features, such as flagging potentially malicious websites or grouping browsing history by specific topics, in Chrome. But it plans to introduce additional features informed by machine learning in the future.

It starts with annoying permission requests from websites. You’ve almost certainly encountered them before – it often seems like every other site you visit asks for permission to send notifications, learn your location, or access something on your device.


“To help people browse the web with minimal disruption,” Google explains, “Chrome predicts when permission prompts are unlikely to be granted based on how the user has previously interacted with it. similar permission prompts, and silences those unwanted prompts. In the next version of Chrome, we’re launching an ML model that makes these predictions entirely on-device.

This feature shows how Google can use machine learning in a reactive way. On the proactive side, the company says future versions of Chrome will use the technology to enable a toolbar that can automatically change to match user behavior.

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Google says it wants to “make sure Chrome meets you where you are, so in the near future we’ll be using ML to adjust the toolbar in real time – highlighting the most useful action to that time (e.g. share a link, voice search, etc.)”. (The company says Chrome users will still be able to customize the toolbar manually, so this feature shouldn’t be too disruptive.)

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