For safe web browsing in future, Google aims to make Chrome more powerful behind the scenes. Google is making its browser more and more smart with Chrome 102, which will predict when a user is likely to ignore or refuse a notification permission question.
According to the company, these pop-ups will now made silent automatically based on how a user has previously behaved with similar prompts.
Chrome Notification permission silence know more about the feature
Google advances in machine learning and it is frequently highlighted in the company’s keynotes. For a more seamless web experience, it’s now leveraging more of this technology in the Chrome browser to handle web notifications.
Google is hoping to accomplish this by incorporating a new machine learning model into Chrome that can estimate when a user is unlikely to grant permission to a web page notification and automatically silences the prompt. These predictions are made on-device, so while Chrome may use a little more of your system resources, the computations will be faster, and your data will remain on your device.
They’ve primarily become a nuisance at this point. Even if there are some websites — usually news websites — that may provide some value in their notifications. Most of the notifications are trash and makes no sense.
Furthermore, while legitimate websites utilize web notifications to remind users of their existence, attackers can use them to initiate phishing attacks or persuade users to download malware if they obtain authorization or permission.
In a blog post, Google admits that, “Page alerts, on the one hand, let you get updates from the sites you care about; on the other hand, notification permission requests can be annoying.”
Google plans to utilize machine learning to make real-time adjustments to Chrome’s toolbar. The browser will determine what type of activity a user is now engaged in and change the toolbar accordingly in the future.
Furthermore, the company stated that its new machine learning model, which was released in March of this year, was able to detect 2.5 times as many potentially harmful sites and phishing assaults than the previous model.
Additionally, other new machine-learning-driven features include a new language recognition model that is better at determining what language a page is in and whether it needs to be translated depending on your personal preferences. Meanwhile, Chrome will change its toolbar based on your current demands in the near future.