# US 2019/0356955 A1 · Methods and apparatus to correct errors in audience measurements for media accessed using over the top devices > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0356955 A1 - Document ID: US20190356955A1 - Status: Published application - Kind: A1 - Application number: 16/525,218 - Filed: 2019-07-29 - Published: 2019-11-21 - Earliest claimed: 2015-07-02 - Assignees: The Nielsen Company (US), LLC - Applicants: The Nielsen Company (US), LLC - Inventors: Kumar Nagaraja Rao; Kamer Toker Yildiz; Jennifer Haskell; Cristina Ion; Mimi Zhang - Web page: https://patentgrep.com/patent/US20190356955A1 ## CPC - H04N 21/4663: {involving probabilistic networks, e.g. Bayesian networks} - G06Q 30/00: Commerce - G06Q 30/02: Marketing; Price estimation or determination; Fundraising - G06Q 30/0241: Advertisements - G06Q 30/0251: Targeted advertisements - H04N 21/252: {Processing of multiple end-users' preferences to derive collaborative data} - 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)} - 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)} - H04N 21/44222: {Analytics of user selections, e.g. selection of programmes 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)} - H04N 21/44226: {on social networks} - H04N 21/4532: {involving end-user characteristics, e.g. viewer profile, preferences (monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18)} - H04N 21/4661: {Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home (user profiles in network data switching protocols H04L67/306)} - H04N 21/4667: {Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections} - H04N 21/812: {involving advertisement data (advertising per se G06Q30/02)} - G06Q 10/40: Business processes related to social networking or social networking services - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract Methods and apparatus to predict demographics are disclosed. An example apparatus includes a prediction manager to access matched demographic impression data when a database proprietor subscriber does not match user data corresponding to a media delivery device, the matched demographic impression data including first demographic data stored by a database proprietor; a linear scaler to linearly scale the matched demographic impression data when the matched demographic impression data covers all demographic categories under consideration; a differential scaler to differentially scale the matched demographic impression data when the matched demographic impression data does not cover at least one of the demographic categories; and a modeler to: generate a model representative of the matched demographic impression data linearly scaled or the matched demographic impression data differentially scaled; and generate predicted demographic impression data by applying the model to second impression data to correct for the database proprietor not storing second demographic data. ## Claims ### Claim 1 An apparatus to predict demographics for impressions, the apparatus comprising: a prediction manager to access matched demographic impression data when a database proprietor subscriber does not match user data corresponding to a media delivery device, the matched demographic impression data corresponding to an impression of media accessed via the media delivery device, the matched demographic impression data including first demographic data stored by a database proprietor in association with a device identifier of the media delivery device; a linear scaler to linearly scale the matched demographic impression data when the matched demographic impression data covers all demographic categories under consideration; a differential scaler to differentially scale the matched demographic impression data when the matched demographic impression data does not cover at least one of the demographic categories; and a modeler to: generate a model representative of the matched demographic impression data linearly scaled or the matched demographic impression data differentially scaled; and generate predicted demographic impression data by applying the model to second impression data, the predicted demographic impression data to correct for the database proprietor not storing second demographic data corresponding to the second impression data. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the linear scaler applies a constant scaling factor to the matched demographic impression data. ### Claim 3 (depends on 1) The apparatus of claim 1, further including a viewership assigner to identify impressions corresponding to co-viewing, the co-viewing including an impression of media accessed via the media delivery device by two or more demographic categories. ### Claim 4 (depends on 3) The apparatus of claim 3, wherein the viewership assigner provides the impressions corresponding to the co-viewing to the prediction manager. ### Claim 5 (depends on 4) The apparatus of claim 4, wherein the linear scaler and the differential scaler generate a co-viewing rate based on a comparison between the matched demographic impression data and the impressions corresponding to the co-viewing from the viewership assigner, a number of the impressions corresponding to the co-viewing is different than a number of matched demographic impression data. ### Claim 6 (depends on 5) The apparatus of claim 5, wherein the linear scaler scales the second impression data based on the co-viewing rate to account for co-viewing. ### Claim 7 (depends on 1) The apparatus of claim 1, wherein the differential scaler applies a variable scaling factor to the matched demographic impression data. ### Claim 8 A non-transitory computer readable storage medium comprising instructions that, when executed, cause a processor to at least: access matched demographic impression data when a database proprietor subscriber does not match user data corresponding to a media delivery device, the matched demographic impression data corresponding to an impression of media accessed via the media delivery device, the matched demographic impression data including first demographic data stored by a database proprietor in association with a device identifier of the media delivery device; linearly scale the matched demographic impression data when the matched demographic impression data covers all demographic categories under consideration; differentially scale the matched demographic impression data when the matched demographic impression data does not cover at least one of the demographic categories; generate a model representative of the matched demographic impression data linearly scaled or the matched demographic impression data differentially scaled; and generate predicted demographic impression data by applying the model to second impression data, the predicted demographic impression data to correct for the database proprietor not storing second demographic data corresponding to the second impression data. ### Claim 9 (depends on 8) The non-transitory computer readable storage medium of claim 8, wherein the instructions, when executed, cause the processor to apply a constant scaling factor to the matched demographic impression data. ### Claim 10 (depends on 8) The non-transitory computer readable storage medium of claim 8, wherein the instructions, when executed, cause the processor to identify impressions corresponding to co-viewing, the co-viewing including an impression of media accessed via the media delivery device by two or more demographic categories. ### Claim 11 (depends on 10) The non-transitory computer readable storage medium of claim 10, wherein the instructions, when executed, cause the processor to provide the impressions corresponding to the co-viewing for scaling. ### Claim 12 (depends on 11) The non-transitory computer readable storage medium of claim 11, wherein the instructions, when executed, cause the processor to generate a co-viewing rate based on a comparison between the matched demographic impression data and the impressions corresponding to the co-viewing, a number of the impressions corresponding to the co-viewing is different than a number of matched demographic impression data. ### Claim 13 (depends on 12) The non-transitory computer readable storage medium of claim 12, wherein the instructions, when executed, cause the processor to scale the second impression data based on the co-viewing rate to account for co-viewing. ### Claim 14 (depends on 8) The non-transitory computer readable storage medium of claim 8, wherein the instructions, when executed, cause the processor to apply a variable scaling factor to the matched demographic impression data. ### Claim 15 A method comprising accessing matched demographic impression data when a database proprietor subscriber does not match user data corresponding to a media delivery device, the matched demographic impression data corresponding to an impression of media accessed via the media delivery device, the matched demographic impression data including first demographic data stored by a database proprietor in association with device identifier of the media delivery device; linearly scaling the matched demographic impression data when the matched demographic impression data covers all demographic categories under consideration; differentially scaling the matched demographic impression data when the matched demographic impression data does not cover at least one of the demographic categories; generating a model representative of the matched demographic impression data linearly scaled or the matched demographic impression data differentially scaled; and generating predicted demographic impression data by applying the model to second impression data, the predicted demographic impression data to correct for the database proprietor not storing second demographic data corresponding to the second impression data. ### Claim 16 (depends on 15) The method of claim 15, wherein linearly scaling includes applying a constant scaling factor to the matched demographic impression data. ### Claim 17 (depends on 15) The method of claim 15, further including identifying impressions corresponding to the co-viewing, the co-viewing including an impression of media accessed via the media delivery device by two or more demographic categories. ### Claim 18 (depends on 17) The method of claim 17, further including generating a co-viewing rate based on a comparison between the matched demographic impression data and the impressions corresponding to the co-viewing, a number of the impressions corresponding to the co-viewing is different than a number of matched demographic impression data. ### Claim 19 (depends on 18) The method of claim 18, further including scaling the second impression data based on the co-viewing rate to account for the co-viewing. ### Claim 20 (depends on 15) The method of claim 15, further including applying a variable scaling factor to the matched demographic impression data.