AUTOMATIC BROWSER TAB GROUPINGS

• US 20170199638A1
• Filed: 01/07/2016
• Published: 07/13/2017
• Est. Priority Date: 01/07/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bhupatiraju, Satish, Hicks, Kevin E., Yim, Peter C., Miller, Adrienne Y.
• Granted Patent: US 9,971,847 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/9577 Optimising the visualization of content, e.g. distillation of HTML documents

Abstract

Embodiments of the present invention includes systems and methods for grouping into a visual container open browser tabs based on an analysis of uniform resource locators, content, or other information relating to the plurality of open browser tabs. The analysis may include calculating a similarity score. Based on a comparison of the similarity score to one or more thresholds, a visual container is provided displaying groups of tiles corresponding to each of the pages open in the browser tabs. The visual container may be formatted as a set of browser tabs, each containing active tiles for each web page of a particular group. The visual container may be a screen showing piles of tiles, each pile corresponding to a particular group.

Claims

1. A computer-implemented method for grouping browser tabs in a web browser user interface, comprising:

analyzing corresponding uniform resource locators for a plurality of open browser tabs; and

grouping a subset of the plurality of open browser tabs into a visual container based on the analysis of the corresponding uniform resource locators.

2. The method of claim 1, wherein the analyzing corresponding uniform resource locators comprises identifying a web domain within each uniform resource locator, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a similar web domain into the visual container.

3. The method of claim 1, wherein the analyzing corresponding uniform resource locators comprises identifying a web domain within each uniform resource locator, and further comprising identifying a category for each web domain, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a similar category into the visual container.

4. The method of claim 1, wherein grouping the subset of the plurality of open browser tabs into a visual container comprises grouping the subset of the plurality of open browser tabs onto an active tile page.

5. The method of claim 1, wherein grouping the subset of the plurality of open browser tabs into a visual container comprises grouping the subset of the plurality of open browser tabs into a web pile.

6. The method of claim 1, further comprising analyzing a temporal access pattern for the plurality of open browser tabs, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a temporal access score that exceeds a predetermined threshold into the visual container.

7. A computer-implemented method for grouping browser tabs in a web browser user interface, comprising:

analyzing content corresponding to a plurality of open browser tabs; and

grouping a subset of the plurality of open browser tabs into a visual container based on the analysis of the content.

8. The method of claim 7, wherein the content analysis comprises performing a keyword detection process, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a similar set of keywords into the visual container.

9. The method of claim 8, further comprising performing a related topic detection process amongst the plurality of open browser tabs, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with related topics into the visual container.

10. The method of claim 8, further comprising performing an image analysis process amongst the plurality of open browser tabs, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a similar set of images into the visual container.

11. The method of claim 8, further comprising performing a locale analysis on the plurality of open browser tabs, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a similar locale into the visual container.

12. The method of claim 7, wherein the analyzing of content is performed on the web browser.

13. The method of claim 7, further comprising sending a corresponding uniform resource locator for each browser tab of the plurality of open browser tabs to a server, and wherein the analyzing of content is performed on the server, and wherein the server provides a similarity score for each of the plurality of open browser tabs, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a similarity score that exceeds a predetermined threshold into the visual container.

14. The method of claim 7, further comprising analyzing a temporal access pattern for the plurality of open browser tabs, and wherein grouping a subset of the plurality of open browser tabs into a visual container comprises grouping browser tabs with a temporal access score that exceeds a predetermined threshold into the visual container.

15. A computer-readable medium, comprising instructions, that when executed by a processor, perform steps of:

analyzing content corresponding to a plurality of open browser tabs; and

grouping a subset of the plurality of open browser tabs into a visual container based on the analysis of the content.

16. The computer-readable medium of claim 15, further comprising instructions for performing a keyword detection process, and further comprising instructions for grouping browser tabs with a similar set of keywords into the visual container.

17. The computer-readable medium of claim 15, further comprising instructions for performing a related topic detection process amongst the plurality of open browser tabs, and further comprising instructions for grouping browser tabs with related topics into the visual container.

18. The computer-readable medium of claim 15, further comprising instructions for performing an image analysis process amongst the plurality of open browser tabs, and further comprising instructions for grouping browser tabs with a similar set of images into the visual container.

19. The computer-readable medium of claim 15, further comprising instructions for performing a locale analysis on the plurality of open browser tabs, and further comprising instructions for grouping browser tabs with a similar locale into the visual container.

20. The computer-readable medium of claim 15, further comprising instructions for executing as a plugin to a web browser.