SYSTEM AND METHOD FOR AUTOMATICALLY ORGANIZING BOOKMARKS THROUGH THE USE OF TAG DATA

• US 20080172399A1
• Filed: 01/17/2007
• Published: 07/17/2008
• Est. Priority Date: 01/17/2007
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Xu, Zhichen, Fu, Yun, Manavoglu, Eren, Yurievich Pavlov, Dmitry, Heymann, Paul, Chi, Liang-Yu
• Granted Patent: US 8,010,532 B2
• Time in Patent Office: Days
• US Class Current: 707/100
• CPC Class Codes: G06F 16/9562 Bookmark management

Abstract

The present invention is directed towards systems and method for organization of bookmarks. The method according to one embodiment comprises retrieving one or more bookmarks associated with one or more content items, a given bookmark generated by a user of a client device and identifying one or more tags associated with one or uniform resource locators corresponding to the or more bookmarks. A bookmark folder hierarchy is created through use of a clustering algorithm on the basis of the one or more tags associated with the one or more uniform resource locators corresponding to the one or more bookmarks.

Claims

1. A method for generating a bookmark folder hierarchy for storage and presentation of one or more bookmarks to content items, the method comprising:

retrieving one or more bookmarks associated with one or more content items, a given bookmark generated by a user of a client device;

identifying one or more tags associated with one or uniform resource locators corresponding to the or more bookmarks; and

generating a bookmark folder hierarchy through use of a clustering algorithm on the basis of the one or more tags associated with the one or more uniform resource locators corresponding to the one or more bookmarks.

2. The method of claim 1 comprising identifying a given folder from the bookmark folder hierarchy to which the one or more bookmarks belong on the basis of the one or more tags associated with the one or more bookmarks.

3. The method of claim 1 wherein retrieving one or more bookmarks comprises retrieving one or more bookmarks stored on a client device associated with the user.

4. The method of claim 1 wherein retrieving one or more bookmarks comprises retrieving one or more bookmarks maintained by a bookmark storage provider.

5. The method of claim 1 wherein identifying one or more tags comprises identifying one or more tags generated by the user of the client device.

6. The method of claim 1 wherein identifying one or more tags comprises identifying one or more global tags generated by one or more users.

7. The method of claim 6 wherein a clustering algorithm comprises a k-means clustering algorithm.

8. The method of claim 6 wherein a clustering algorithm comprises a k-median clustering algorithm.

9. The method of claim 6 wherein a clustering algorithm comprises a two-step clustering algorithm.

10. The method of claim 6 wherein a clustering algorithm comprises a Ward'"'"'s minimum variance clustering algorithm.

11. The method of claim 6 wherein a clustering algorithm comprises a single linkage clustering algorithm.

12. The method of claim 1 wherein generating a hierarchal structure comprises generating a hierarchal tree structure.