AUTOMATED SURFACING OF TAGGED CONTENT IN VERTICAL APPLICATIONS

• US 20090182713A1
• Filed: 01/16/2008
• Published: 07/16/2009
• Est. Priority Date: 01/16/2008
• Status: Active Grant

• Current Assignee: AirBNB Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Stern, Edith H., Willner, Barry E., O'Sullivan, Patrick J., Weir, Robert C.
• Granted Patent: US 9,235,648 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9562 Bookmark management
• CPC Class Codes: G06F 40/109 Font handling; Temporal or kinetic typography
• CPC Class Codes: G06F 40/205 Parsing

Abstract

Embodiments of the present invention address deficiencies of the art in respect to social bookmarking and provide a method, system and computer program product for automated surfacing of tagged content in a vertical application. In an embodiment of the invention, a method for automatically surfacing tagged content in a vertical application can be provided. The method can include parsing text from content in an end user application, comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system and matching portions of the content to respective ones of the social bookmarks based upon the comparison, and visually emphasizing the matched portions of the content in the end user application.

Claims

1. A method for automatically surfacing tagged content in a vertical application, the method comprising:

parsing text from content in an end user application;

comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison; and

,

visually emphasizing the matched portions of the content in the end user application.

2. The method of claim 1, wherein comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison, further comprises restricting the parsed text to a limited vocabulary when comparing the parsed text to the social bookmarks and associated metadata.

3. The method of claim 1, further comprising toggling the visual emphasis of the matched portions of the content in the end user application.

4. The method of claim 1, further comprising appending a source indicator for the visually emphasized matched portions of the content.

5. A social bookmarking data processing system comprising:

a social bookmarking system executing in a host server and managing a plurality of social bookmarks and associated metadata;

an end user application executing separately from the social bookmarking system and providing content in a display; and

,

auto-surfacing logic coupled to the end user application, the logic comprising program code enabled to extract display content, to pass the content to the social bookmarking system for parsing into text, for comparing to the social bookmarks and associated metadata, and for matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison, and to direct a visual emphasis of the matched portions of the content in the end user application.

6. The system of claim 5, wherein the auto-surfacing logic subclasses a display event in the end user application.

7. The system of claim 5, wherein the auto-surfacing logic is a helper application coupled to the end user application.

8. The system of claim 5, wherein the auto-surfacing logic is embedded as part of the end user application.

9. The system of claim 5, wherein the auto-surfacing logic resides in the host server and has a hook into the end user application.

10. A computer program product comprising a computer usable medium embodying computer usable program code for automatically surfacing tagged content in a vertical application, the computer program product comprising:

computer usable program code for parsing text from content in an end user application;

computer usable program code for comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison; and

,

computer usable program code for visually emphasizing the matched portions of the content in the end user application.

11. The computer program product of claim 10, wherein the computer usable program code for comparing the parsed text to social bookmarks and associated metadata in a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison, further comprises computer usable program code for restricting the parsed text to a limited vocabulary when comparing the parsed text to the social bookmarks.

12. The computer program product of claim 10, further comprising computer usable program code for toggling the visual emphasis of the matched portions of the content in the end user application.

13. The computer program product of claim 10, further comprising computer usable program code for appending a source indicator for the visually emphasized matched portions of the content.