Migration of tags across entities in management of personal electronically encoded items

• US 9,836,548 B2
• Filed: 08/31/2012
• Issued: 12/05/2017
• Est. Priority Date: 08/31/2012
• Status: Active Grant

• Current Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Original Assignee: Blackberry Limited
• Inventors: Oka, Anand Ravindra, Simmons, Sean Bartholomew, Snow, Christopher Harris, Hanov, Steven Michael, Naddafzadeh Shirazi, Ghasem
• Primary Examiner(s): Burke, Jeffrey A
• Assistant Examiner(s): VU, THONG H
• Application Number:
  US13/600,673
• Publication Number:
  US 20140067807A1
• Time in Patent Office: 1,922 Days
• Field of Search: 707737, 707702, 707100, 707748, 707738, 707827, 707736, 707791, 707 10, 707805, 715771, 715753, 725131
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

A method performed on an electronic device for migrating tags across entities. The migration of the tags is performed following an analysis of one or more personal electronically encoded items associated with a previously created perspective or album associated with the previously created perspective, responsive to a user decision the creation of a new perspective, a new album associated with one of the previously created perspectives, or a new perspective and a new album associated with the new perspective, responsive to a user decision to treat the previously created perspective or album as an individual entity, and association of the previously created perspective or album with the new perspective or new album. The tags are respectively migrated from the new perspective or the new album to the associated previously created perspective or the previously created album and to associated ones of the one or more personal electronically encoded items.

Claims

1. A method for managing electronically encoded items on an electronic device, comprising:

using a processor device operably coupled with a database, performing;

analyzing a user'"'"'s own personal electronically encoded items associated with a previously created category representing a first personal area of user interest identified by a user to discover similarities among the personal electronically encoded items from which a new category can be proposed;

providing a proposal to the user for creation of the new category with which to associate at least one of the personal electronically encoded items, the proposal based on the similarities determined from the analysis, and a probability model trained by the user'"'"'s interactions with the personal electronically encoded items;

creating the new category representing a second personal area of user interest, responsive to user acceptance of the proposal;

responsive to a user decision to cluster the previously created category with the new category as an individual entity within the new category, associating the previously created category with the new category by migrating tags from the new category to the associated previously created category and to the personal electronically encoded items of the associated previously created category, the migration of the tags based on child-parent relationships;

monitoring the user'"'"'s acceptance/rejection of the proposal; and

modifying criteria used in making future proposals, based on the user'"'"'s acceptance/rejection of proposals, wherein modifying the criteria comprises modifying the probability model.

2. The method as recited in claim 1, wherein modification of the probability model is performed automatically.

3. The method as recited in claim 1, wherein the personal electronically encoded items are stored within albums in the database.

4. The method as recited in claim 1, further comprising:

collecting the personal electronically encoded items from at least one source selected from a group consisting of;

a cellular phone, a mobile electronic device, a personal computer, a tablet, a digital camera, a camera, a digital video camera, a video camera, a digital sound recorder, a sound recorder, and a tape recorder.

5. The method as recited in claim 1, wherein the personal electronically encoded items comprise an item selected from a group consisting of:

digital photographs, analog photographs, digital videos, analog videos, digitally encoded sound files, and analog encoded sound files.

6. The method as recited in claim 1, further comprising automatically tagging one or more of the personal electronically encoded items with one or more keywords.

7. The method of claim 1 further comprising associating a probability model with each category.

8. A non-transitory computer-readable medium having computer-executable instructions stored thereon for causing a computer comprising a processor and associated memory to carry out a method for managing electronically encoded items, the method comprising:

analyzing a user'"'"'s own personal electronically encoded items associated with a previously created category representing a first personal area of user interest identified by a user to discover similarities among the personal electronically encoded items from which a new category can be proposed;

providing a proposal to the user for creation of a new category with which to associate at least one of the personal electronically encoded items, the proposal based on similarities determined from the analysis, and a probability model trained by the user'"'"'s interactions with the personal electronically encoded items;

creating the new category representing a second personal area of user interest, responsive to user acceptance of the proposal;

responsive to a user decision to cluster the previously created category with the new category as an individual entity within the new category, associating the previously created category with the new category by migrating tags from the new category to the associated previously created category and to the personal electronically encoded items of the associated previously created category, the migration of the tags based on child-parent relationships;

monitoring the user'"'"'s acceptance/rejection of the proposal; and

modifying criteria used in making future proposals, based on the user'"'"'s acceptance/rejection of proposals, wherein modifying the criteria comprises modifying the probability model.

9. The non-transitory computer-readable medium as recited in claim 8, wherein modification of the probability model is performed automatically.

10. The non-transitory computer-readable medium as recited in claim 8, wherein the personal electronically encoded items are stored within albums in a database.

11. The non-transitory computer-readable medium as recited in claim 8, the method further comprising:

collecting the personal electronically encoded items from at least one source selected from a group consisting of;

a cellular phone, a mobile electronic device, a personal computer, a tablet, a digital camera, a camera, a digital video camera, a video camera, a digital sound recorder, a sound recorder, and a tape recorder.

12. The non-transitory computer-readable medium as recited in claim 8, wherein the personal electronically encoded items comprise at least one item selected from a group consisting of:

digital photographs, analog photographs, digital videos, analog videos, digitally encoded sound files, and analog encoded sound files.

13. The non-transitory computer-readable medium as recited in claim 8, the method further comprising automatically tagging one or more of the personal electronically encoded items with one or more keywords.

14. The non-transitory computer-readable medium of claim 8, wherein the method for managing electronically encoded items further comprises associating a probability model with each category.

15. A virtual assistant for managing electronically encoded items, comprising:

a processor operably coupled with a memory;

an analysis module configured to analyze a user'"'"'s own personal electronically encoded items associated with a previously created category representing a first personal area of interest identified by a user to discover similarities among the personal electronically encoded items from which a new category can be proposed;

a probability module configured to;

develop and modify a probability model trained by the user'"'"'s interactions with the personal electronically encoded items; and

modify criteria used in making future proposals, based on the user'"'"'s acceptance/rejection of proposals, wherein modifying the criteria comprises modifying the probability model;

a proposal module configured to provide a proposal to the user for creation of a new category with which to associate at least one of the personal electronically encoded items, the proposal based on similarities determined from the analysis, and the probability model;

a user control module configured to create the new category representing a second personal area of user interest, responsive to user acceptance of the proposal;

an association and migration module configured to associate the previously created category with the new category by migrating tags from the new category to the associated previously created category and to the personal electronically encoded items of the associated previously created category, responsive to a user decision to cluster the previously created category with the new category as an individual entity within the new category, the migration of the tags based on child-parent relationships; and

a system control module configured to monitor the user'"'"'s acceptance/rejection of the proposal.

16. The virtual assistant as recited in claim 15, wherein modification of the probability model is performed automatically.

17. The virtual assistant as recited in claim 15, wherein the personal electronically encoded items are stored within albums in a database.

18. The virtual assistant as recited in claim 15, further comprising:

a collection module configured to collect the personal electronically encoded items from at least one source selected from a group consisting of;

a cellular phone, a mobile electronic device, a personal computer, a tablet, a digital camera, a camera, a digital video camera, a video camera, a digital sound recorder, a sound recorder, and a tape recorder.

19. The virtual assistant as recited in claim 15, wherein the personal electronically encoded items comprise at least one item selected from a group consisting of:

digital photographs, analog photographs, digital videos, analog videos, digitally encoded sound files, and analog encoded sound files.

20. The virtual assistant as recited in claim 15, further comprising a tagging module configured to automatically tag at least one of the personal electronically encoded items with one or more keywords.

21. The virtual assistant of claim 15 wherein the probability module is further configured to associate a probability model with each category.