최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
---|---|
국제특허분류(IPC7판) |
|
출원번호 | US-0359129 (2016-11-22) |
등록번호 | US-9774900 (2017-09-26) |
발명자 / 주소 |
|
출원인 / 주소 |
|
대리인 / 주소 |
|
인용정보 | 피인용 횟수 : 0 인용 특허 : 330 |
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 p
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.
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 probab
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; andin 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; andan 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; andadjust 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; andcalculate 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; andinsert 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; andadjusting 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; andcalculating 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; andinserting 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; andadjust 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; andcalculate 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; andinsert 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.
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.