Users that have a large number of open browser tabs can struggle to identify tabs that are relevant to their current task. While tab search functionality is available in some browsers, such functionality does not automatically identify relevant tabs. This disclosure describes a web browser that, with user permission, determines the user’s current context based on the currently active browser tab and automatically highlights other relevant tabs that are currently open. The content and metadata of browser tabs are analyzed, e.g., using on-device machine learning techniques, to identify the relevant tabs. The relevant tabs can be highlighted with different colors and/or color gradation to indicate relative match to the current tab. The techniques are applicable for any application tabbed or stacked user interface.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.