REVERSE BRAND SORTING TOOLS FOR INTEREST-GRAPH DRIVEN PERSONALIZATION

• US 20140052527A1
• Filed: 03/15/2013
• Published: 02/20/2014
• Est. Priority Date: 08/15/2012
• Status: Active Grant

• Current Assignee: Rally AG LLC (Teledisc Corporation)
• Original Assignee: nFluence Media, Inc.
• Inventors: Roundtree, Brian
• Granted Patent: US 10,019,730 B2
• Time in Patent Office: Days
• US Class Current: 705/14.44
• CPC Class Codes: G06Q 30/0245 Surveys

Abstract

An input and processing system allows user input information such as user affinity to efficiently block content and request content as well as novel input of commands such as copy/paste on a small mobile device screen among other computing devices. A client/server is also made more efficient due to the enhanced gathering of information such as content feedback from users.

Yet another disclosure regards a system allowing leveraging of preexisting information to display content and select brands for user feedback.

Also disclosed are systems for increasing sales efficiency, and various GUI interfaces.

Claims

1. A non-transitory computer readable media having instructions stored thereon that are executable by processor electronics to:

a. determine one or more characteristics of a user based on preexisting data that is stored in association with the user;

b. select at least one brand to be presented to the user, wherein the brand(s) selected have characteristics that are associated with the determined characteristics of the user;

c. receive user feedback indicating whether the user has an affinity for said at least one brand; and

d. based on the received feedback, changing a confidence level that the user has one or more of the determined characteristics.

2. The non-transitory computer readable media of claim 1, wherein the determination comprises associating said preexisting data with a preexisting data characteristic tag based at least upon marketing data or a taxonomy.

3. The non-transitory computer readable media of claim 1, wherein selection comprises matching a preexisting data characteristic tag associated with the preexisting data to a characteristics tag associated to a brand.

4. The non-transitory computer readable media of claim 1, wherein the feedback is neutral user affinity feedback.

5. The non-transitory computer readable media of claim 1, further comprising assigning a weight to a piece of said preexisting data based on marketing data.

6. The non-transitory computer readable media of claim 1, wherein the determination comprises associating a piece of preexisting data to a tag that represents a probability that a user has a particular characteristic.

7. The non-transitory computer readable media of claim 1, wherein user feedback is in response to detecting when the user moves a touch point on a display screen in a predefined direction over said at least one brand.

8. The non-transitory computer readable media of claim 1, wherein the user feedback is a brand affinity tag.

9. The non-transitory computer readable media of claim 1, further comprising instructions to add the one or more characteristics to an interest graph.

10. A non-transitory computer readable media having instructions stored thereon that are executable by processor electronics to:

a. determine meaning of preexisting data, wherein the determination comprises associating said preexisting data with a preexisting data characteristic tag;

b. based at least on said meaning, select at least one brand for user presentation, wherein selection comprises associating the preexisting data characteristic tag to a characteristics tag associated to a brand; and

c. receive user feedback on said at least one brand, wherein user feedback is in response to detecting when a user moves a touch point on a display screen in a predefined direction over said at least one brand.

11. The non-transitory computer readable media of claim 10, wherein the association of said preexisting data with said preexisting data characteristic tag is by taxonomy data or marketing data association.

12. The non-transitory computer readable media of claim 10, further comprising instructions to integrate said user feedback into a user interest graph.

13. The non-transitory computer readable media of claim 12, further comprising causing transmission of content to a user associated to said interest graph based upon the interest graph.

14. The non-transitory computer readable media of claim 10, wherein the detection of moving a touch point on a display screen input was input via a touch screen.

15. A non-transitory computer readable media having instructions stored thereon that are executable by processor electronics to:

a. transmit preexisting data to a remote computer;

b. in response to transmitting preexisting data, receive a plurality of brands;

c. detect a gesture regarding an affinity for at least one of the brands, wherein a representation of an affinity for a brand is statistically likely to represent users with particular characteristics;

d. in response to the detected user affinity gesture, transmit the affinity to the remote computer; and

e. receive content based on the transmitted affinity and an associated likelihood of a particular characteristic.

16. The non-transitory computer readable media of claim 15, wherein said plurality of brands were selected in response to associating a brand characteristics tag to a preexisting data characteristics tag.

17. The non-transitory computer readable media of claim 15, further comprising instructions to associate a device executing the instructions with a user interest graph on the remote device.

18. The non-transitory computer readable media of claim 15, wherein the gesture regarding the affinity for at least one of the brands is detected when a user moves a touch point on a display screen in a predefined direction over said at least one brand.

19. The non-transitory computer readable media of claim 18, wherein the detection of moving a touch point on a display screen input was input via a touch screen.

20. The non-transitory computer readable media of claim 15, further comprising instructions to incorporate the affinity into an interest graph.