Chrome New Machine Learning Model to Silence Undesired Notification Permission Prompts

Photo Credit: google.com/chrome/
Google Chrome will soon get a new machine learning (ML) model that will silence notification permission prompts that are unlikely to be approved. This model, according to Google, is part of an expansion of its machine learning capabilities, which it uses in a variety of other services, including spam email filtering. The Mountain View, California-based company claims that the move will improve the browsing experience even more, and that user data will remain private because the model will run on-device.

In a blog post, Google explains how the new machine learning model will change how people interact with web notifications. While some notifications deliver updates from your favorite websites, others annoy you by asking for permission to receive notifications. According to Google Chrome, the new model "predicts when permission prompts are unlikely to be granted based on how the user previously interacted with similar permission prompts," and it automatically silences unwanted prompts.

The model will be available in Chrome's next release, according to Google. A code change will allow Chrome to reclaim a website's right to send notifications, according to a previous report on the feature. Furthermore, this prediction will be made entirely on a mobile device. This means that user information is not sent to Google servers and remains private on the device. Chrome received a new machine learning model earlier this year that is said to identify 2.5 times more potentially malicious sites and phishing attacks than the previous model.

In the near future, Google says it will use machine learning to adjust the Chrome toolbar in real time, highlighting the action that is most useful in specific scenarios. When you're reading the news, for example, the toolbar may display actions such as a share link and voice search. These actions can also be manually customized.

The third option is to use an updated machine learning model that works in tandem with Journeys to translate pages in Google Chrome. Users can resume their search journey where they left off with the Journeys feature, and organize visited pages by topic or category. The updated model now determines whether the previous page you visited requires translation to match your preferences.