Personalized advertisement content

• US 9,332,284 B1
• Filed: 02/28/2013
• Issued: 05/03/2016
• Est. Priority Date: 02/28/2013
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Taylor, Amber Autrey
• Primary Examiner(s): Duffield, Jeremy
• Application Number:
  US13/780,251
• Time in Patent Office: 1,160 Days
• Field of Search: 725 9- 13, 725 32- 36, 725/109
• US Class Current: 1/1
• CPC Class Codes: H04N 21/23424 involving splicing one content stream with another content stream, e.g. for inserting or substituting an advertisement
• CPC Class Codes: H04N 21/2542 for selling goods, e.g. TV shopping payment schemes, payment architectures or payment protocols for electronic shopping systems G06Q20/12
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/44226 on social networks
• CPC Class Codes: H04N 21/47815 Electronic shopping payment schemes, payment architectures or payment protocols for electronic shopping systems G06Q20/12
• CPC Class Codes: H04N 21/488 Data services, e.g. news ticker systems specially adapted for using meteorological information in broadcast systems H04H60/71
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Disclosed are various embodiments for selecting personalized advertisements to be transmitted to a user device during the streaming of advertisement-supported media item content. A primary user and a secondary user may be associated with the consumption of media item content being streaming to a user device. Based on the identification of both the primary user and secondary user, presence metadata may be generated. Using at least the presence metadata, advertisements that are appropriate for and target both the primary and any secondary users may be selected and transmitted to the client device.

Claims

1. A non-transitory computer-readable medium embodying a program executable in at least one computing device, wherein, when executed, the program causes the at least one computing device to at least:

receive a request to transmit a media content stream to a client device, the media content stream including an advertisement pod;

identify a primary user and a secondary user in association with a consumption of the media content stream, the primary user associated with a user account;

select a first subset of user information associated with the primary user and a second subset of user information associated with the secondary user based at least in part on demographic data associated with the secondary user, wherein selection of the first subset of user information comprises selecting specific user information associated with the primary user that is age-appropriate with respect to the demographic data associated with the secondary user;

generate presence metadata based at least in part on the first subset of user information associated with the primary user and the second subset of user information associated with the secondary user;

rank a plurality of advertisements based at least in part on the presence metadata, the media content stream, and advertisement compatibility metadata, the advertisement compatibility metadata including information about media content subject matter that is incompatible with individual ones of the plurality of advertisements;

select a highest ranked advertisement from the plurality of advertisements to transmit during a transmission of the media content stream to the client device;

transmit the highest ranked advertisement to the client device upon detection of the advertisement pod in the media content stream;

generate network content comprising additional information about an item associated with the highest ranked advertisement in response to receiving a request from the client device via a selection of a link included in the highest ranked advertisement;

transmit the network content to the client device; and

facilitate an online transaction of the item associated with the highest ranked advertisement in response to receiving a transaction request for the online transaction from the client device.

2. The non-transitory computer-readable medium of claim 1, wherein the presence metadata is further based at least upon at least one of an interaction history of the primary user, an interaction history of the secondary user, or demographic data associated with the primary user.

11. The non-transitory computer-readable medium of claim 1, wherein, when executed, the program further causes the at least one computing device to at least determine an age range of at least one of the primary user or the secondary user based at least in part on a frequency of an audio signal received from the client device.

21. The non-transitory computer-readable medium of claim 1, wherein, when executed, the program further causes the at least one computing device to at least:

detect an absence of the secondary user;

detect an addition of a new secondary user; and

update the presence metadata in response to detection of the new secondary user.

3. A method, comprising:

receiving, by at least one computing device, a request to transmit media content to a client device, the media content including an advertisement pod;

identifying, by the at least one computing device, a primary user and a secondary user in association with a consumption of the media content on the client device, the primary user associated with a user account;

selecting, by the at least one computing device, a first portion of user information associated with the primary user and a second portion of user information associated with the secondary user based at least in part on an age range associated with the secondary user, wherein selection of the first portion of the user information associated with the primary user comprises selecting specific user information that is appropriate with respect to the age range associated with the secondary user;

generating, by the at least one computing device, presence metadata based at least in part on the first portion of the user information associated with the primary user and the second portion of the user information associated with the secondary user;

ranking, by the at least one computing device, a plurality of advertisements based at least in part on the presence metadata, the media content, and advertisement compatibility metadata, the advertisement compatibility metadata including information about media content subject matter that is incompatible with individual ones of the plurality of advertisements;

selecting, by the at least one computing device, a highest ranked advertisement from the plurality of advertisements to transmit during a transmission of the media content to the client device;

transmitting, by the at least one computing device, the highest ranked advertisement to the client device;

generating, by the at least one computing device, network content comprising additional information about an item associated with the highest ranked advertisement in response to receiving a request from the client device via a selection of a link included in the highest ranked advertisement;

transmitting, by the at least one computing device, the network content to the client device; and

facilitating, by the at least one computing device, an online transaction of the item associated with the highest ranked advertisement in response to receiving a request for the online transaction from the client device.

4. The method of claim 3, wherein selecting the first portion of the user information associated with the primary user and the second portion of the user information associated with the secondary user is further based at least in part upon at least one of the following:

demographic data associated with the primary user, demographic data associated with the secondary user, or an interaction history of the secondary user.

5. The method of claim 4, wherein identifying the primary user is based at least in part upon at least one of the following:

at least one user input, facial recognition, or biometrics.

6. The method of claim 4, wherein the client device includes a camera, and identifying the secondary user is based at least in part upon a facial recognition algorithm using an image captured by the camera of the client device.

7. The method of claim 3, wherein the client device includes a microphone device, and identifying the secondary user is based at least upon the audio signal captured by the microphone device.

8. The method of claim 3, wherein ranking the plurality of advertisements is further based at least in part upon a relationship between the primary user and the secondary user.

9. The method of claim 3, further comprising:

detecting, by the at least one computing device, an addition of a new secondary user or a departure of the secondary user;

identifying, by the at least one computing device, the new secondary user when the addition of the new secondary user is detected; and

generating, by the at least one computing device, the presence metadata when the new secondary user is detected or the secondary user has departed.

10. The method of claim 3, further comprising:

identifying, by the at least one computing device, at least one second item in an area associated with the consumption of the media content; and

wherein ranking the plurality of advertisements is further based at least in part on the at least one second item.

12. The method of claim 3, wherein the age range is based at least in part on an audio signal.

13. A system, comprising:

at least one computing device comprising a processor and a memory; and

at least one application stored in the memory and executable in the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least;

receive a request to transmit a media content stream to a client device, the media content stream including an advertisement pod;

identify a primary user and a secondary user in association with a consumption of the media content stream, the primary user associated with a user account;

select a first subset of user information associated with the primary user and a second subset of user information associated with the secondary user based at least in part on demographic data associated with the secondary user, wherein selection of the first subset of user information comprises selecting specific user information associated with the primary user that is age-appropriate with respect to the demographic data associated with the secondary user;

generate presence metadata based at least in part on the first subset of user information associated with the primary user and the second subset of user information associated with the secondary user;

rank a plurality of advertisements based at least in part on the presence metadata, the media content stream, and advertisement compatibility metadata, the advertisement compatibility metadata including information about media content subject matter that is incompatible with individual ones of the plurality of advertisements;

select a highest ranked advertisement from the plurality of advertisements to transmit during a transmission of the media content stream to the client device;

transmit the highest ranked advertisement to the client device upon detection of the advertisement pod in the media content stream;

generate network content comprising additional information about an item associated with the highest ranked advertisement in response to receiving a request from the client device via a selection of a link included in the highest ranked advertisement;

transmit the network content to the client device; and

facilitate an online transaction of the item associated with the highest ranked advertisement in response to receiving a transaction request for the online transaction from the client device.

14. The system of claim 13, wherein the presence metadata is further based at least in part upon at least one of the following:

an interaction history of the primary user, an interaction history of the secondary user, or demographic data associated with the primary user.

15. The system of claim 13, wherein selecting the first subset of user information associated with the primary user and the second subset of user information associated with the secondary user is further based at least in part on at least one of the following:

demographic data associated with the primary user, an interaction history of the primary user, or an interaction history of the secondary user.

16. The system of claim 13, wherein identifying the primary user is based at least in part upon at least one of the following:

a user input, facial recognition, or a biometric.

17. The system of claim 13, wherein identifying the secondary user is based at least in part upon at least one of the following:

a user input, facial recognition, or a biometric.

18. The system of claim 13, wherein ranking the plurality of advertisements is further based at least in part upon a relationship between the primary user and the secondary user.

19. The system of claim 13, wherein, when executed, the at least one application further causes the at least one computing device to at least:

detect an addition of a new secondary user;

identify the new secondary user; and

update the presence metadata in response to identifying the new secondary user.

20. The system of claim 13, wherein, when executed, the at least one application further causes the at least one computing device to at least identify at least one second item in an area associated with the consumption of the media content stream, wherein ranking the plurality of advertisements is further based at least in part on the at least one second item.