Improved Search Results with Gmail’s New Machine Learning Models

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Google has announced that Gmail will soon enhance its searching capabilities with the use of machine learning models. The update introduces a section called ‘Top results’, which will present the most relevant search results to users, followed by filtered results in ‘All results in mail’, based on recency and other relevant factors. Google has assured users that there will be no toggles to enable this feature, as it’ll be automatically enabled as soon as it rolls out to all Workspace or personal Google account holders. The update is expected to help streamline Gmail’s searching capabilities, especially for those with many emails bearing the same or similar keywords.

The default email client of Google, Gmail, is widely popular and has millions of active users around the world. During last month’s I/O 2023, the company announced that it would use AI capabilities to create an entire email in the forthcoming ‘Help me write’ feature. Moreover, the recent update to Gmail’s search feature using machine learning models will further improve its functionality and make it less cumbersome, especially for users who receive a lot of emails.

Google is one of the largest multinational technology companies in the world and manages the world’s largest search engine. The company provides a wide range of products and services such as Pixel smartphone and google assistant, among others, to numerous countries across the globe.

Chris Plummer is a cybersecurity engineer who reported a Gmail bug to Google engineering, highlighting the misuse of the blue checkmark verification system. He initially received no response, but his revelation gained traction online and ultimately prompted Google to take a fresh look at the issue.

See also  Apple Prefers Machine Learning over Artificial Intelligence

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