Methods and apparatus to calculate video-on-demand and dynamically inserted advertisement viewing probability

• US 9,774,900 B2
• Filed: 11/22/2016
• Issued: 09/26/2017
• Est. Priority Date: 02/11/2014
• Status: Active Grant

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Wood, Benjamin, Coughlin, John Charles, Poppie, Molly, Kramer, Marie, Fuhrer, Brian, Borawski, Albert T., Milavsky, Joseph G., Donato, Paul, Shankar, Balachander, Kurzynski, David J.
• Primary Examiner(s): PIERORAZIO, MICHAEL
• Application Number:
  US15/359,129
• Publication Number:
  US 20170078727A1
• Time in Patent Office: 308 Days
• Field of Search: 725 14
• 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 21/2407 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 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• 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 21/44222 Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/4663 involving probabilistic networks, e.g. Bayesian networks
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand and dynamically inserted advertisement viewing probability. An example apparatus disclosed herein includes a category manager to identify a targeting strategy for advertisements associated with media presented in a first set of households and a second set of households, a probability engine to calculate a baseline viewing probability for a non-time shifted presentation of the media in the first set of households and the second set of households, and in response to identifying presentations of the media having a subsequent temporal sequence from the non-time shifted presentation, calculate corresponding time-shifted viewing probabilities of the media for the first set of households and the second set of households, and an imputation engine to generate viewing probability trend information of the media for the first set of households and the second set of households, the viewing probability trend information based on the respective time-shifted viewing probabilities, and adjust the targeting strategy to reduce wasteful targeting of the advertisements, the adjustment to select one of the first set of households or the second set of households to insert the advertisements based on the viewing probability trend information.

Claims

1. An apparatus to target advertising with time-shifted viewing, comprising:

a category manager to identify a targeting strategy for advertisements associated with media presented in a first set of households and a second set of households;

a probability engine to;

calculate a baseline viewing probability for a non-time shifted presentation of the media in the first set of households and the second set of households; and

in response to identifying presentations of the media having a subsequent temporal sequence from the non-time shifted presentation, calculate corresponding time-shifted viewing probabilities of the media for the first set of households and the second set of households; and

an imputation engine to;

generate viewing probability trend information of the media for the first set of households and the second set of households, the viewing probability trend information based on the respective time-shifted viewing probabilities; and

adjust the targeting strategy to reduce wasteful targeting of the advertisements, the adjustment to select one of the first set of households or the second set of households to insert the advertisements based on the viewing probability trend information.

2. The apparatus as defined in claim 1, wherein the imputation engine is to identify whether the time-shifted viewing probabilities for the first set of households is greater than the time-shifted viewing probabilities for the second set of households.

3. The apparatus as defined in claim 2, wherein the imputation engine is to insert the advertisements in the first set of households.

4. The apparatus as defined in claim 1, wherein the probability engine is to:

calculate a first time-shifted viewing probability associated with a first delay of presentation of the media; and

calculate a second time-shifted viewing probability associated with a second delay of the media presentation, the second delay longer than the first delay.

5. The apparatus as defined in claim 4, wherein the imputation engine is to:

insert a first one of the advertisements associated with media presentation during the first delay; and

insert a second one of the advertisements associated with media presentation during the second delay.

6. The apparatus as defined in claim 4, wherein viewing demographics associated with the first delay are different than viewing demographics associated with the second delay.

7. The apparatus as defined in claim 5, wherein first demographics associated with the media presentation during the first delay match demographics associated with the first set of households.

8. A method to target advertising with time-shifted viewing, the method comprising:

identifying a targeting strategy for advertisements associated with media presented in a first set of households and a second set of households;

calculating a baseline viewing probability for a non-time shifted presentation of the media in the first set of households and the second set of households;

in response to identifying presentations of the media having a subsequent temporal sequence from the non-time shifted presentation, calculating corresponding time-shifted viewing probabilities of the media for the first set of households and the second set of households;

generating viewing probability trend information of the media for the first set of households and the second set of households, the viewing probability trend information based on the respective time-shifted viewing probabilities; and

adjusting the targeting strategy to reduce wasteful targeting of the advertisements, the adjustment to select one of the first set of households or the second set of households to insert the advertisements based on the viewing probability trend information.

9. The method as defined in claim 8, further including identifying whether the time-shifted viewing probabilities for the first set of households is greater than the time-shifted viewing probabilities for the second set of households.

10. The method as defined in claim 9, further including inserting the advertisements in the first set of households.

11. The method as defined in claim 8, further including:

calculating a first time-shifted viewing probability associated with a first delay of presentation of the media; and

calculating a second time-shifted viewing probability associated with a second delay of the media presentation, the second delay longer than the first delay.

12. The method as defined in claim 11, further including:

inserting a first one of the advertisements associated with media presentation during the first delay; and

inserting a second one of the advertisements associated with media presentation during the second delay.

13. The method as defined in claim 11, wherein viewing demographics associated with the first delay are different than viewing demographics associated with the second delay.

14. The method as defined in claim 12, wherein first demographics associated with the media presentation during the first delay match demographics associated with the first set of households.

15. A tangible machine-readable storage medium comprising instructions that, when executed, cause a processor to at least:

identify a targeting strategy for advertisements associated with media presented in a first set of households and a second set of households;

calculate a baseline viewing probability for a non-time shifted presentation of the media in the first set of households and the second set of households;

in response to identifying presentations of the media having a subsequent temporal sequence from the non-time shifted presentation, calculate corresponding time-shifted viewing probabilities of the media for the first set of households and the second set of households;

generate viewing probability trend information of the media for the first set of households and the second set of households, the viewing probability trend information based on the respective time-shifted viewing probabilities; and

adjust the targeting strategy to reduce wasteful targeting of the advertisements, the adjustment to select one of the first set of households or the second set of households to insert the advertisements based on the viewing probability trend information.

16. The machine-readable storage medium as defined in claim 15, wherein the instructions, when executed, cause the processor to identify whether the time-shifted viewing probabilities for the first set of households is greater than the time-shifted viewing probabilities for the second set of households.

17. The machine-readable storage medium as defined in claim 16, wherein the instructions, when executed, cause the processor to insert the advertisements in the first set of households.

18. The machine-readable storage medium as defined in claim 15, wherein the instructions, when executed, cause the processor to:

calculate a first time-shifted viewing probability associated with a first delay of presentation of the media; and

calculate a second time-shifted viewing probability associated with a second delay of the media presentation, the second delay longer than the first delay.

19. The machine-readable storage medium as defined in claim 18, wherein the instructions, when executed, cause the processor to:

insert a first one of the advertisements associated with media presentation during the first delay; and

insert a second one of the advertisements associated with media presentation during the second delay.

20. The machine-readable storage medium as defined in claim 18, wherein the instructions, when executed, cause the processor to determine that viewing demographics associated with the first delay are different than viewing demographics associated with the second delay.