System and method for sending advertising data based on data associated with video data

• US 9,838,726 B2
• Filed: 10/27/2014
• Issued: 12/05/2017
• Est. Priority Date: 04/25/2008
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Cansler, James L, Scott, Charles, White, Scott
• Primary Examiner(s): SHANG, ANNAN Q
• Application Number:
  US14/524,122
• Publication Number:
  US 20150113550A1
• Time in Patent Office: 1,135 Days
• Field of Search: 725 32- 36, 725 4, 725 5, 725 8, 725 9, 725 23
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04N 21/2407 Monitoring of transmitted content, e.g. distribution time, number of downloads arrangements for monitoring programmes for broadcast or for distribution combined with broadcast H04H20/14
• 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 21/2668 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 21/435 Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A method is disclosed including but not limited to monitoring penetration data on an advertising server processor wherein the penetration data indicates frequency, quantity, duration and data volume of data correlated with advertising data that has been sent from a first end user device to a second end user device. A computer program and a system are disclose for monitoring penetration data on an advertising server processor wherein the penetration data indicates frequency, quantity, duration and data volume of data correlated with advertising data that has been sent from a first end user device to a second end user device.

Claims

1. A method comprising:

receiving by a processing system including a processor, end user device data from a network node device over a high speed communication line;

analyzing, by the processing system, the end user device data using image, text and sound recognition functions of the processing system to detect advertising data keys that indicate advertising data discussion and forwarding associated with penetration of the advertising data within a predefined community of end users including a first end user;

monitoring, by the processing system, the end user device data for penetration data using a packet monitoring device, wherein the penetration data indicates frequency, quantity, duration and data volume of data correlated with advertising data that has been sent from the first end user at a first end user device to a plurality of users outside of a household, the plurality of users comprising a second end user belonging to the community of end users and a third end user belonging to a group of end users having an affiliation with the first end user, at least a portion of the group being outside the community of end users;

selecting, by the processing system, targeted advertising data to be sent to the first end user device based on the penetration data; and

providing, by the processing system, compensation to the first end user based on the penetration of the advertising data within the group of end users.

2. The method of claim 1, wherein the penetration data indicates that the first end user device has sent to a second end user device, discussion data relating to the advertising data.

3. The method of claim 2, further comprising:

selecting, by the processing system, targeted advertising data to be sent to the first end user at the first end user device based on the penetration data.

4. The method of claim 1, further comprising:

assigning, by the processing system, weights to the penetration data for the first end user device based on a connectivity for the first end user at the first end user device with a group of end user devices associated with the group of end users.

5. The method of claim 1, further comprising:

estimating, by the processing system, a strength of response to the advertising data received based on changes in a purchasing history for the first end user after the first end user has received the advertising data.

6. The method of claim 1, wherein the penetration data indicates that the advertising data was sent from the first end user device to a second end user device outside of the subscriber household.

7. A system comprising:

a processing system including a processor in data communication with a non-transitory machine readable medium; and

a computer program embedded in the non-transitory machine readable medium comprising executable instructions that, when executed by the processing system, facilitate performance of operations comprising;

receiving end user device data from a network node device over a high speed communication line;

analyzing the end user device data using image, text and sound recognition functions of the processing system to detect advertising data keys that indicate advertising data discussion and forwarding associated with penetration of the advertising data within a predefined community of users including a first end user;

monitoring the end user device data for penetration data indicating frequency, quantity, duration and data volume of data correlated with advertising data that has been sent from a first end user device to a plurality of users outside of a household, the plurality of users comprising a second end user belonging to the community of end users and a third end user belonging to a group of end users having an affiliation with the first end user, at least a portion of the group being outside the community of end users;

selecting targeted advertising data to be sent to the first end user device based on the penetration data; and

providing compensation to the first end user based on the penetration of the advertising data within the group of end users.

8. The system of claim 7, wherein the penetration data further comprises advertising forwarding data indicating that the first end user at the first end user device has sent to the second end user at a second end user device, data indicating a discussion of the advertising data.

9. The system of claim 7, wherein the operations further comprise:

selecting targeted advertising data at the processing system, to be sent to the first end user device based on the penetration data, wherein the penetration data further comprises user-to-user connectivity data indicating frequency, quantity, duration and data volume of interactions between the first end user at the first end user device and the second end user at the second end user device.

10. The system of claim 9, wherein the operations further comprise assigning weights to the user-to-user connectivity data.

11. The system of claim 7, wherein the operations further comprise estimating a strength of response based on changes in purchasing activity for the first end user at the first end user device, after receiving prior advertising data correlated with the advertising data.

12. A non-transitory machine-readable storage medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations comprising:

receiving end user device data from a network node device over a high speed communication line;

analyzing the end user device data using image, text and sound recognition functions of the processing system to detect advertising data keys that indicate advertising data discussion and forwarding associated with penetration of the advertising data within a predefined community of end users including a first end user;

monitoring penetration data indicating frequency, quantity, duration and data volume of data correlated with advertising data that has been sent from the first end user at a first end user device to a plurality of users outside of a household, the plurality of users comprising a second end user belonging to the community of end users and a third end user belonging to a group of end users having an affiliation with the first end user, at least a portion of the group being outside the community of end users;

selecting targeted advertising data to be sent to the first end user device based on the penetration data; and

providing compensation to the first end user based on the penetration of the advertising data within the group of end users.

13. The non-transitory machine-readable storage medium of claim 12, wherein the penetration data further comprises advertising forwarding data indicating that the first end user at the first end user device has sent to the second end user at a second end user device, advertising data indicating a discussion of the advertising data.

14. The non-transitory machine-readable storage medium of claim 12, wherein the operations further comprise:

selecting targeted advertising data at the processing system, to be sent to the first end user device based on the penetration data, wherein the penetration data further comprises user-to-user connectivity data indicating frequency, quantity, duration and data volume of interactions between the first end user at the first end user device and the second end user at the second end user device.

15. The non-transitory machine-readable storage medium of claim 12, wherein the operations further comprise assigning weights to a user-to-user connectivity of the first end user device.

16. The non-transitory machine-readable storage medium of claim 12, wherein the operations further comprise:

estimating a strength of response based on changes in purchasing activity for the first end user at the first end user device, after receiving prior advertising data correlated with the advertising data.