Collection and management of precision user preference data

Patent metadata

Field	Value
Publication number	US-10095793-B2
Application number	US-201113997403-A
Country	US
Kind code	B2
Filing date	Dec 13, 2011
Priority date	Sep 12, 2011
Publication date	Oct 9, 2018
Grant date	Oct 9, 2018

Abstract

Methods and systems may involve storing device-specific user preference data to a local device and receiving a real-time request from a remote device. One or more user coefficients may be used to filter the device-specific user preference data in response to the request. In one example, the user preference data includes keyword data and the filtered keyword data is used to discover and present information to the user via the remote device.

First claim

We claim:

1. At least one non-transitory computer readable storage medium comprising a set of instructions which, when executed by a processor, cause a computer to:
receive device-specific user preference data from a keyword engine of a local device;
store the device-specific user preference data to the local device, which is independent of a central location, to enhance privacy;
receive, from a remote device, a real-time request for context-appropriate user preference data stored at the local device;
select one or more user coefficients based on the real-time request;
use the selected one or more user coefficients to extract and filter the device-specific user preference data stored in the local device in response to the request; and
use a chat protocol to transmit the filtered device-specific user preference data to the remote device, and
wherein the instructions, when executed, cause a computer to add an expiration parameter to the filtered device-specific user preference data.

2. The at least one non-transitory computer readable storage medium of claim 1 , wherein the device-specific user preference data is to include at least one of closed captioned information, subtitle information, song lyrics, e-book words, photo metadata, video annotation information, watermark information, facial recognition information, object recognition information and audiobook content.

3. The at least one non-transitory computer readable storage medium of claim 1 , wherein the selected one or more user coefficients are to include at least one of a user identifier, a time of day, a type of media, a type of content, a device context, one or more adjacent applications, a day of week, a time of year and a presence of multiple users.

4. A system comprising:
a communications interface;
a processor; and
at least one non-transitory computer readable storage medium including a set of instructions which, when executed by the processor, cause the system to,
store system-specific user preference data to the system, which is independent of a central location, to enhance privacy,
receive a real-time request for context-appropriate user preference data from a remote device via the communications interface, and
use one or more user coefficients to extract and filter the system-specific user preference data in response to the request,
wherein the instructions, when executed, cause the system to use a chat protocol to transmit filtered system-specific user preference data to the remote device,
wherein specific advertising is to be created for a user based, at least in part, on the extracted and filtered system-specific user preference data, and
wherein the instructions, when executed, cause the system to add an expiration parameter to the filtered system-specific user preference data.

5. The system of claim 4 , wherein the instructions, if executed, cause the system to select the one or more user coefficients based on the real-time request.

6. The system of claim 5 , wherein the one or more user coefficients are to include at least one of a user identifier, a time of day, a type of media, a type of content, a device context, one or more adjacent applications, a day of week, a time of year and a presence of multiple users.

7. The system of claim 4 , further including a keyword engine to generate the system-specific user preference data.

8. The system of claim 7 , wherein the device-specific user preference data is to include at least one of closed captioned information, subtitle information, song lyrics, e-book words, photo metadata, video annotation information, watermark information, facial recognition information, object recognition information and audiobook content.

9. An apparatus comprising:
logic to,
store device-specific user preference data to a local device, which is independent of a central location, to enhance privacy,
receive a real-time request for context-appropriate user preference data from a remote device, and
use one or more user coefficients to extract and filter the device-specific user preference data stored in the local device in response to the request,
wherein the logic is to use a chat protocol to transmit the filtered device-specific user preference data to the remote device to create specific advertising,
wherein the specific advertising is to be created for a user based, at least in part, on the extracted and filtered device-specific user preference data,
wherein the logic is to add an expiration parameter to the filtered device-specific user preference data.

10. The apparatus of claim 9 , wherein the logic is to select the one or more user coefficients based on the real-time request.

11. The apparatus of claim 10 , wherein the one or more user coefficients are to include at least one of a user identifier, a time of day, a type of media, a type of content, a device context, one or more adjacent applications, a day of week, a time of year and a presence of multiple users.

12. The apparatus of claim 9 , wherein the logic is to receive the device-specific user preference data from a keyword engine of the local device.

13. The apparatus of claim 12 , wherein the device-specific user preference data is to include at least one of closed captioned information, subtitle information, song lyrics, e-book words, photo metadata, video annotation information, watermark information, facial recognition information, object recognition information and audiobook content.

14. A method comprising:
receiving device-specific user preference data from a keyword engine of a local device;
storing the device-specific user preference data to the local device, which is independent of a central location, to enhance privacy;
receiving, from a remote device, a real-time request for context-appropriate user preference data stored at the local device;
selecting one or more user coefficients based on the real-time request;
extracting and filtering the device-specific user preference data stored in the local device based on the selected one or more user coefficients, in response to the real-time request; and
transmitting the filtered device-specific user preference data to the remote device using a chat protocol,
wherein specific advertising is to be created for a user based, at least in part, on the filtered device-specific user preference data that is transmitted to the remote device, and
wherein the instructions, when executed, cause a computer to add an expiration parameter to the filtered device-specific user preference data.

Assignees

• Mo Stanley
• Ochoa Claudio J
• Domingo Yaguez Gustavo D
• Szilagyi Victor
• Smith Elliot
• Intel Corp

Inventors

• Mo Stanley
• Ochoa Claudio J
• Domingo Yaguez Gustavo D
• Szilagyi Victor
• Smith Elliot

Classifications

• H04L51/046

  Interoperability with other network applications or services · CPC title

• G06F17/30702

  Physics · mapped topic

• G06F17/30867 Primary

  Physics · mapped topic

• G06F16/337 Primary

  Profile generation, learning or modification · CPC title

• G06F16/335

  Filtering based on additional data, e.g. user or group profiles (filtering in web context G06F16/9535, G06F16/9536) · CPC title