Prediction of advertisement reach based on advertiser specified bid and/or budget amounts
US-2015332310-A1 · Nov 19, 2015 · US
US12499468B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12499468-B2 |
| Application number | US-202318366001-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 7, 2023 |
| Priority date | Feb 8, 2021 |
| Publication date | Dec 16, 2025 |
| Grant date | Dec 16, 2025 |
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Methods, apparatus, systems, and articles of manufacture to perform computer-based monitoring of audiences of network-based media using information theory to estimate intermediate level unions are disclosed. An example apparatus to determine a deduplicated, census-based audience metric of media includes panel union calculator circuitry to calculate a threshold statistic corresponding to an intermediate union of a panel hierarchy, and census union calculator circuitry to calculate a deduplicated audience value corresponding to the intermediate union of the census hierarchy based on the threshold statistic.
Opening claim text (preview).
The invention claimed is: 1 . A computing system comprising a processor and a memory, the computing system configured to perform a set of acts comprising: calculating a threshold statistic corresponding to an intermediate union of a panel hierarchy; and calculating a deduplicated audience value corresponding to the intermediate union of a census hierarchy based on the threshold statistic, the deduplicated audience value representative of accesses to media by audience members via network-connected devices. 2 . The computing system of claim 1 , wherein: the panel hierarchy comprises bottom nodes that are connected to and below the intermediate union of the panel hierarchy, each bottom node representing a respective audience that accesses a respective media content item, and the intermediate union of the panel hierarchy represents a deduplicated audience of the bottom nodes. 3 . The computing system of claim 2 , wherein the respective media content items are respective websites. 4 . The computing system of claim 2 , wherein the threshold statistic is a pseudo-universe estimate that is derived from the respective audiences of each bottom node and a deduplicated audience of the intermediate union of the panel hierarchy. 5 . The computing system of claim 1 , wherein the set of acts further comprises calculating a sufficient statistic corresponding to the intermediate union of a panel hierarchy based on the threshold statistic, wherein the deduplicated audience value is further based on the sufficient statistic. 6 . The computing system of claim 5 , wherein the sufficient statistic is derived from the threshold statistic and a universe estimate. 7 . The computing system of claim 1 , wherein the set of acts further comprises reporting the deduplicated audience value using a communication interface. 8 . A method comprising: calculating, by a computing system, a threshold statistic corresponding to an intermediate union of a panel hierarchy; and calculating, by the computing system, a deduplicated audience value corresponding to the intermediate union of a census hierarchy based on the threshold statistic, the deduplicated audience value representative of accesses to media by audience members via network-connected devices. 9 . The method of claim 8 , wherein: the panel hierarchy comprises bottom nodes that are connected to and below the intermediate union of the panel hierarchy, each bottom node representing a respective audience that accesses a respective media content item, and the intermediate union of the panel hierarchy represents a deduplicated audience of the bottom nodes. 10 . The method of claim 9 , wherein the respective media content items are respective websites. 11 . The method of claim 9 , wherein the threshold statistic is a pseudo-universe estimate that is derived from the respective audiences of each bottom node and a deduplicated audience of the intermediate union of the panel hierarchy. 12 . The method of claim 8 , further comprising calculating a sufficient statistic corresponding to the intermediate union of a panel hierarchy based on the threshold statistic, wherein the deduplicated audience value is further based on the sufficient statistic. 13 . The method of claim 12 , wherein the sufficient statistic is derived from the threshold statistic and a universe estimate. 14 . The method of claim 8 , further comprising reporting the deduplicated audience value using a communication interface. 15 . A non-transitory computer-readable medium having stored therein instructions that, upon execution by one or more processors, cause a computing system to perform a set of acts comprising: calculating a threshold statistic corresponding to an intermediate union of a panel hierarchy; and calculating a deduplicated audience value corresponding to the intermediate union of a census hierarchy based on the threshold statistic, the deduplicated audience value representative of accesses to media by audience members via network-connected devices. 16 . The non-transitory computer-readable medium of claim 15 , wherein: the panel hierarchy comprises bottom nodes that are connected to and below the intermediate union of the panel hierarchy, each bottom node representing a respective audience that accesses a respective media content item, and the intermediate union of the panel hierarchy represents a deduplicated audience of the bottom nodes. 17 . The non-transitory computer-readable medium of claim 16 , wherein the respective media content items are respective websites. 18 . The non-transitory computer-readable medium of claim 16 , wherein the threshold statistic is a pseudo-universe estimate that is derived from the respective audiences of each bottom node and a deduplicated audience of the intermediate union of the panel hierarchy. 19 . The non-transitory computer-readable medium of claim 15 , wherein the set of acts further comprises calculating a sufficient statistic corresponding to the intermediate union of a panel hierarchy based on the threshold statistic, wherein the deduplicated audience value is further based on the sufficient statistic. 20 . The non-transitory computer-readable medium of claim 19 , wherein the sufficient statistic is derived from the threshold statistic and a universe estimate.
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