Selection of advertisements via viewer feedback

• US 9,363,546 B2
• Filed: 06/23/2015
• Issued: 06/07/2016
• Est. Priority Date: 06/17/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Burger, Doug, Holmdahl, Todd Eric, Matthews, Joseph H. III, Baldwin, James A., Schiller, Jay
• Primary Examiner(s): SHEPARD, JUSTIN E
• Application Number:
  US14/747,863
• Publication Number:
  US 20150296239A1
• Time in Patent Office: 350 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: H04H 20/103 Transmitter-side switching
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04H 60/45 for identifying users
• 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 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/26241 involving the time of distribution, e.g. the best time of the day for inserting an advertisement or airing a children program
• 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 21/42201 biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user input arrangements for interaction with the human body based on nervous system activity detection G06F3/015
• CPC Class Codes: H04N 21/4223 Cameras H04N23/00 takes precedence
• CPC Class Codes: H04N 21/44213 Monitoring of end-user related data arrangements for monitoring the users' behaviour or opinions in broadcast systems H04H60/33
• 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 21/44236 Monitoring of piracy processes or activities protecting computer platforms against harmful, malicious or unexpected behaviour or activities using intrusion detection and counter measures G06F21/566; computer virus detection and handling G06F21/56
• CPC Class Codes: H04N 21/458 Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations arrangements for replacing or switching information during the broadcast or during the distribution H04H20/10
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Embodiments related to selecting advertisements for display to targeted viewers are disclosed. In one example embodiment, an advertisement is selected by, for each of a plurality of advertisements, aggregating a plurality of emotional response profiles from a corresponding plurality of prior viewers of the advertisement to form an aggregated emotional response profile for the advertisement, wherein each of the emotional response profiles comprises a temporal record of a prior viewer'"'"'s emotional response to the advertisement. The method further includes identifying a group of potentially positively correlated viewers for the targeted viewer, filtering the aggregated emotional response profiles based on the group of potentially positively correlated viewers, selecting a particular advertisement from the plurality of advertisements based on a correlation of the filtered aggregated emotional response profiles, and sending the particular advertisement for display to the targeted viewer.

Claims

1. A computing device, comprising:

a logic subsystem; and

a data-holding subsystem storing instructions executable by the logic subsystem to

aggregate, for each of a plurality of available content items, a plurality of emotional response profiles from a corresponding plurality of prior viewers of the content item to form an aggregated emotional response profile for the content item, each of the emotional response profiles comprising a temporal record of a prior viewer'"'"'s emotional response to the content item, and wherein one or more content items of the plurality of available content items comprises at least a first portion and a plurality of possible second portions;

receive, from a remote computing device, a targeted viewer'"'"'s current emotional status;

select a selected content item from the plurality of available content items based on a correlation of the targeted viewer'"'"'s current emotional status to the plurality of aggregated emotional response profiles;

send to the remote computing device a first portion of the selected content item to be output for presentation;

receive from the remote computing device an input of a targeted viewer'"'"'s emotional response to the first portion of the selected content item;

select a second portion of the selected content item from the plurality of possible second portions for the selected content item based on a correlation between the targeted viewer'"'"'s current emotional status, the targeted viewer'"'"'s emotional response to the first portion of the selected content item, and the aggregated emotional response profiles; and

send to the remote computing device the second portion of the selected content item to be output for presentation.

2. The computing device of claim 1, where the instructions are further executable to select the selected content item so that a respective targeted viewer frequency for the selected content item matches a preselected viewing frequency for the selected content item.

3. The computing device of claim 1, wherein the instructions are further executable to select the selected content item by selecting the selected content item based on one or more of a content item identity identifying a content item data with which the selected content item is to be presented, a time slot in which the selected content item is to appear, and a position in which the selected content item is to appear within the time slot.

4. The computing device of claim 1, where the instructions are further executable to:

receive information from the remote computing device regarding a current emotional status of the targeted viewer while the targeted viewer is not viewing a display;

select a second content item from the plurality of content items based on a current emotional status of the targeted viewer; and

send the second content item for display to the targeted viewer.

5. The computing device of claim 1, where the instructions are further executable to:

receive from the remote computing device information regarding the targeted viewer'"'"'s emotional response to the selected content item; and

update the aggregated emotional response profile for the selected content item with the targeted viewer'"'"'s emotional response to the selected content item.

6. The computing device of claim 1, where the instructions are further executable to:

determine an attentiveness of the targeted viewer to the selected content item based on data received from the remote computing device regarding an emotional response of the targeted viewer to the selected content item; and

determine a payout value based on the attentiveness to be paid from one entity within a content delivery chain to another entity within the content delivery chain.

7. The computing device of claim 1, where the instructions are further executable to:

identify a group of potentially positively correlated viewers for the targeted viewer based upon a social network to which the targeted viewer belongs; and

filter the aggregated emotional response profiles for the plurality of content items based on the group of potentially positively correlated viewers.

8. The computing device of claim 7, where the instructions are further executable to:

receive data from the remote computing device regarding the targeted viewer'"'"'s emotional response to the selected content item; and

update a constituency of the group of potentially positively correlated viewers according to a correlation of the targeted viewer'"'"'s emotional response to the selected content item and the aggregated emotional response profile.

9. The computing device of claim 1, where the instructions are further executable to select the selected content item by selecting the selected content item based on an interest profile of the targeted viewer.

10. The computing device of claim 1, where the instructions are further executable to:

send, based on the targeted viewer'"'"'s emotional response to the selected content item from a primary display, a related content item to a mobile computing device belonging to the targeted viewer; and

track a clickthrough response of the targeted viewer to the related content item.

11. On a computing device, a method of presenting a content item, the method comprising:

determining a targeted viewer'"'"'s current emotional status from emotional feedback data received from a video viewing environment sensor monitoring the targeted viewer;

sending, to a server computing device, the targeted viewer'"'"'s current emotional status;

receiving, from the server computing device, a first portion of a selected content item for presentation;

outputting the first portion of the selected content item for presentation to the targeted viewer;

determining, from emotional feedback data received from the video viewing environment sensor monitoring the targeted viewer, a targeted viewer'"'"'s emotional response to the first portion of the selected content item;

sending, to the server computing device, the targeted viewer'"'"'s emotional response to the first portion of the selected content item;

receiving, from the server computing device, a second portion of the selected content item for presentation; and

outputting the second portion of the selected content item for presentation to the targeted viewer.

12. The method of claim 11, further comprising identifying the targeted viewer based on image data received from the video viewing environment sensor.

13. The method of claim 12, further comprising identifying the targeted viewer based on a facial similarity comparison between a face included in image data collected from the video viewing environment sensor and an image stored in a viewer profile for the targeted viewer.

14. The method of claim 11, further comprising

determining the current emotional status of the targeted viewer by measuring emotional reactions of the targeted viewer while the targeted viewer is not viewing a display as determined by image data capturing the targeted viewer;

sending the determined current emotional status of the targeted viewer to the server computing device; and

receiving, from the server computing device, a second content item for presentation to the targeted viewer.

15. A system for selecting content items for presentation to a targeted viewer, the system comprising:

means for aggregating, for each of a plurality of content items from a pre-determined progression of content items, a plurality of emotional response profiles from a corresponding plurality of prior viewers of the content item to form an aggregated emotional response profile for the content item;

means for receiving, from a remote computing device, a current emotional status of the targeted viewer;

means for selecting a first content item of the plurality of content items from the pre-determined progression of content items for presentation;

means for sending the first content item for presentation to the targeted viewer;

means for receiving, from the remote computing device, a targeted viewer'"'"'s emotional response to the first content item;

means for selecting, from the plurality of content items of the pre-determined progression, a second content item for presentation; and

means for sending the second content item for presentation to the targeted viewer.

16. The system of claim 15, where the means for selecting the first content item further comprises means for selecting the first content item based on an interest profile of the targeted viewer.

17. The system of claim 15, further comprising means for sending, based on the targeted viewer'"'"'s emotional response to the first content item from a primary display, a related content item to a mobile computing device belonging to the targeted viewer.

18. The system of claim 17, further comprising means for tracking a clickthrough response of the targeted viewer to the related content item.

19. The system of claim 15, further comprising means for tracking targeted viewer frequencies at which the targeted viewer views the plurality of content items.

20. The system of claim 15, further comprising means for tracking targeted viewer contexts during which the targeted viewer views the plurality of content items.