US2022261853A1PendingUtilityA1

Providing targeted content based on a user's preferences

72
Assignee: PUBLICOVER MARK WPriority: Sep 26, 2013Filed: Jan 26, 2022Published: Aug 18, 2022
Est. expirySep 26, 2033(~7.2 yrs left)· nominal 20-yr term from priority
H04N 21/41265H04N 21/812H04N 21/6582H04N 21/4788H04N 21/4532H04N 21/43615H04N 21/2668H04N 21/252G06Q 30/0277G06Q 30/0271G06Q 30/0258H04N 21/2187H04L 67/306G06F 16/2358G06F 16/24575G06Q 30/0251G06Q 30/0269H04W 4/21H04N 21/25883H04N 21/4858
72
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Claims

Abstract

Targeted Content solutions can be provided using a variety of techniques. Targeted Content can be provided in place of generic advertisements on a first device or on personal computing devices. Targeted Content can be presented during, or in place of, generic advertisements in Content (e.g., television content, streaming content, etc.). Targeted Content can be provided in individual and/or group environments. In a group environment, Users and/or Devices can be grouped into a shared advertising group and Targeted Content can be selected based on Profiles of one or more members of the group. Feedback can be received regarding Targeted Content and payout amount can be determined.

Claims

exact text as granted — not AI-modified
1 - 75 . (canceled) 
     
     
         76 . A method for computerized distribution of content by way of a content management system comprising:
 receiving an identity for a first individual user;   receiving from a content provider, content meta-data and business preference information, the content meta-data comprising one or more identities of a provider, an author, or a subject of content associated with the content provider;   utilizing the identity of the first individual user to access individual user preference information provided and/or authorized by the first individual user, wherein the user preference information includes at least a first assertion comprising a forward-looking declaration of the first individual user's intention to take future action related to the provider, the author, or the subject of content and further utilizing the identity of the first individual user to derive business preference fit data by determining a degree to which the first individual user satisfies the business preference information; and   provisioning the content associated with the content provider to the first individual user in accordance with the business preference fit data.   
     
     
         77 . The method of  claim 76  wherein provisioning content associated with the content provider to the first individual user in accordance with the business preference fit data is further provisioned in accordance with the user preference information. 
     
     
         78 . The method of  claim 76  wherein the first assertion is qualified with a probability and/or a condition. 
     
     
         79 . The method of  claim 76  further comprising:
 generating an integrity rating that is indicative of a correlation between the first individual user's action and the first assertion. 
 
     
     
         80 . The method of  claim 76  further comprising:
 identifying an action by the first individual user that matches the first assertion and crediting an account associated with the first individual user. 
 
     
     
         81 . The method of  claim 76  further comprising:
 receiving an identity from each of a plurality of individual users in addition to the first individual user; 
 grouping the first individual user and the plurality of individual users into a shared content group to generate shared content group preference information by aggregating individual user preference information of each of the individual users in the shared content group wherein the shared content group preference information includes at least a first shared assertion comprising a forward-looking declaration of the shared content group's intention to take future action related to the provider, the author, or the subject of content and utilizing identities of users of the shared content group to derive business preference fit data by determining a degree to which the shared content group satisfies the business preference information; and 
 provisioning the content to the individual users in the shared content group in accordance with the business preference fit data. 
 
     
     
         82 . The method of  claim 76  further comprising:
 utilizing the business preference fit data to permit one or more of filtering, prioritizing or modifying content associated with the content provider in its provision to the first individual user. 
 
     
     
         83 . The method of  claim 76  further comprising:
 accepting an input from the first individual user indicating rejection of content by the first individual user. 
 
     
     
         84 . The method of  claim 76  further comprising:
 receiving from a champion, registered as a second individual user having an identity distinct from the identity of the first individual user, content regarding one or more products, the content comprising information pertaining to at least a first specified goods and services provided by a goods and services provider, and 
 wherein the content associated with the content provider provisioned to the first individual user includes the content received from the champion regarding the one or more products. 
 
     
     
         85 . A method for computerized management of content by way of a content management system, comprising:
 receiving an identity from each of a plurality of individual users;   receiving from a content provider content and content meta-data and business preference information, the content meta-data comprising one or more identities of the provider, an author, or a subject of the content;   grouping the plurality of individual users into a shared content group to generate shared content group preference information by aggregating individual user preference information of each of the individual users in the shared content group;   utilizing the identities of the provider, the author, or the subject of the content to derive shared content group fit data by determining a degree to which the provider, the author or the subject of the content satisfies the shared content group preference information;   utilizing the shared content group preference information to derive business preference fit data by determining a degree to which the shared content group preference information satisfies the business preference information; and   providing to the content provider the shared content group fit data and the business preference fit data to permit one or more of filtering, prioritizing, or modifying content associated with the content provider in its provision to the shared content group.   
     
     
         86 . The method of  claim 85  further comprising:
 determining for each individual user in the shared content group, individual user content fit data by determining a degree to which the content satisfies for each individual user in the shared content group, individual user preference information for each corresponding individual user; 
 grouping one or more individual users of the shared content group whose corresponding individual user content fit data falls below a predetermined threshold into a shared content sub-group; and 
 provisioning to the individual users in the shared content sub-group alternate content to the content provisioned to the shared content group. 
 
     
     
         87 . The method of  claim 85  wherein the shared content group preference information further comprises a determination of whether individual users in the shared content group are in virtual and/or physical proximity to one another. 
     
     
         88 . The method of  claim 85  further comprising:
 accepting an input indicating rejection of the content by an individual user in the shared content group. 
 
     
     
         89 . The method of  claim 85  wherein the shared content group preference information further comprises an assertion comprising a forward-looking declaration of the shared content group's intention to take a future action related to the provider, the author, or the subject of the content. 
     
     
         90 . A method for computerized distribution of content by way of a content management system comprising:
 receiving an identity for an individual user;   receiving from a content provider, content and content meta-data and business preference information pertaining to the content, the content meta-data comprising an identity of the champion and an identity of a subject of the content;   receiving an identity for a champion, wherein the champion is the author of the content, and the identity of the champion is distinct from the identity of the individual user;   utilizing the identity of the first individual user to access individual user preference information provided and/or authorized by the first individual user;   utilizing the identity of the champion to access champion preference information provided and/or authorized by the champion;   deriving champion fit data as an aggregation of the individual user preference information, the champion preference information, and the subject of the content; and   providing to the content provider the champion fit data to permit the provision of the content to the first individual user, wherein the provision of the content to the first individual user comprises filtering, prioritizing, modifying and/or delivery of content associated with the content provider in whole or in part to the first individual user.   
     
     
         91 . The method of  claim 90  further comprising:
 after delivery of the content to the individual user, receiving feedback from the individual user, wherein the feedback indicates, at least in part, performance of the champion; and 
 determining a payout amount for the champion based, at least in part, on the received feedback. 
 
     
     
         92 . The method of  claim 90  further comprising:
 crediting an account associated with the champion upon the one or more of filtering, prioritizing, or modifying the content in its provision to the first individual user or upon the provisioning of the content to the first individual user. 
 
     
     
         93 . The method of  claim 90  wherein deriving champion fit data further comprises:
 receiving, from a third-party, verification data pertaining to the champion and utilizing the verification data in the derivation of the champion fit data. 
 
     
     
         94 . The method of  claim 90  wherein the individual user preference information further comprises an assertion comprising a forward-looking declaration of the individual user's intention to take a future action related to the subject of the content. 
     
     
         95 . The method of  claim 90  further comprising:
 receiving an identity from each of one or more of additional individual users in addition to the individual user; 
 grouping the individual user and the one or more of additional individual users into a shared content group of users; 
 utilizing the identity of each individual user in the shared content group to access user preference information provided and/or authorized by the users in the shared content group; 
 generating shared content group preference information by aggregating user preference information of each of the users in the shared content group; and 
 wherein deriving champion fit data is further performed as an aggregation of the shared content group preference information.

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