Link association

Patent metadata

Field	Value
Publication number	US-10706245-B2
Application number	US-201615747869-A
Country	US
Kind code	B2
Filing date	Oct 6, 2016
Priority date	Nov 5, 2015
Publication date	Jul 7, 2020
Grant date	Jul 7, 2020

Abstract

Examples disclosed herein relate to capturing a first machine-readable link via art image capture device, retrieving a first content element associated with the first machine-readable Sink, determining whether the first content element is related to a second content element associated with a second machine-readable link, and in response to determining that the first content element is related to the second content element associated with a second machine-readable link, retrieving the second content element.

First claim

We claim:

1. A non-transitory machine-readable storage medium storing instructions that when executed by a processor cause the processor to:
receive scans of a first machine-readable link to a first content element and a second machine-readable link to a second content element;
determine metadata associated with the first and second machine-readable links, wherein the metadata includes time, geo-locations, and frequency of the scans of the first and second machine-readable links;
group the first machine-readable link with the second machine-readable link together based on a correlation between the time, geo-locations, and frequency of the scans of the first and second machine-readable links; and
in response to an opening of a link-scanning application on a user device, retrieve and display, on the user device, the first content element and the second content element before the first and second machine-readable links being scanned by the user device, based on a proximity between the user device and the first machine-readable link.

2. The non-transitory machine-readable medium of claim 1 , wherein the instructions are executable to cause the processor to group the first machine-readable link with the second machine-readable link together based on a condition in which the first content element is displayed within a threshold distance from the second content element.

3. The non-transitory machine-readable medium of claim 1 , wherein the instructions are executable to cause the processor to group the first machine-readable link with the second machine-readable link based on a condition in which the first content element and the second content element are located within a same document.

4. The non-transitory machine-readable medium of claim 1 , wherein the instructions are executable to cause the processor to group the first machine-readable link with the second machine-readable link based on a condition in which the first content element and the second content element have been captured by a same image capture device.

5. The non-transitory machine-readable medium of claim 1 , wherein the instructions are executable to cause the processor to group the first machine-readable link with the second machine-readable link based on a condition in which the first content element and the second content element are both classified into a same category.

6. The non-transitory machine-readable medium of claim 1 , wherein the instructions are executable to cause the processor to group the first machine-readable link with the second machine-readable link based on a condition in which the first content element and the second content element are associated with a same demographic category of users.

7. A computer-implemented method, comprising:
receiving, by a processor of a computing device, scans of a first machine-readable link to a first digital content element and a second machine-readable link to a second digital content element;
determining, by the processor, metadata associated with the first and second machine-readable links, wherein the metadata includes time, geo-locations, and frequency of the scans of the first and second machine-readable links;
grouping, by the processor, the first machine-readable link with the second machine-readable link together based on a correlation between the time, geo-locations, and frequency of the scans of the first and second machine-readable links; and
in response to an opening of a link-scanning application on a user device, retrieving and displaying, on the user device, by the processor, both the first digital content element of the first machine-readable link and the second digital content element of the second machine-readable link before the first and second machine-readable links being scanned by the user device, based on a proximity between the user device and the first machine-readable link.

8. The computer-implemented method of claim 7 , further comprising: after grouping the first machine-readable link with the second machine-readable link together, assigning a common tag to the first machine-readable link and the second machine-readable link.

9. The computer-implemented method of claim 7 , wherein grouping the first machine-readable link with the second machine-readable link together is based on a determination that the first machine-readable link and the second machine-readable link are displayed within a threshold distance from each other.

10. The computer-implemented method of claim 7 , wherein grouping the first machine-readable link with the second machine-readable link together is based on a determination that the first machine-readable link and the second machine-readable link have been scanned within a threshold time of each other.

11. The computer-implemented method of claim 7 , wherein grouping the first machine-readable link with the second machine-readable link together is based on a determination that the first machine-readable link and the second machine-readable link have been scanned by a plurality of users sharing a similar demographic characteristic.

12. The computer-implemented method of claim 7 , further comprising assigning a weight to each of the first machine-readable link and the second machine-readable link.

13. The computer-implemented method of claim 12 , further comprising displaying the first digital content element and the second digital content element on the user device in an order according to the assigned weights of the first and second machine-readable links.

14. The computer-implemented method of claim 7 , further comprising:
determining whether the second machine-readable link has been scanned by a second device; and
in response to determining that the second machine-readable link has been scanned by the second device, providing the second digital content element and the first digital content element to the second device based on the grouping of the first machine-readable link and the second machine-readable link.

15. A system, comprising:
a processor; and
a memory storing instructions that when executed cause the processor to:
receive scans of a plurality of machine-readable links to a plurality of corresponding digital content elements,
determine metadata associated with each of the plurality of machine-readable links, wherein the metadata includes time, geo-locations, and frequency of the scans of the plurality of machine-readable links,
group the plurality of machine-readable links together based on a correlation between the time, geo-locations, and frequency of the scans of the plurality of machine-readable links, and
in response to an open of a link-scanning application on a user device, retrieve and display, on the user device, the plurality of digital content elements of the plurality of machine-readable links before the plurality of machine-readable links being scanned by the user device, based on a proximity between the user device and one of the plurality of machine-readable links.

16. The system of claim 15 , wherein the instructions further cause the processor to:
assign a weight to each of the plurality of machine-readable links, and
display the digital content elements on the user device in an order according to the assigned weights of the plurality of machine-readable links.

17. The system of claim 15 , wherein the instructions are executable to cause the processor to:
group the plurality of machine-readable links together based on a determination that the machine-readable links are displayed within a threshold distance from each other.

18. The system of claim

Assignees

• Hewlett Packard Development Co

Inventors

• Asthana Prashant
• Bhatia Rajesh
• Kumar Amrendra

Classifications

• G06Q30/02 Primary

  Marketing; Price estimation or determination; Fundraising · CPC title

• G06K7/1413

  1D bar codes · CPC title

• G06K7/10722 Primary

  Photodetector array or CCD scanning · CPC title

• G06K7/1417

  2D bar codes · CPC title