# US 2014/0156582 A1 · Item Response Methods as Applied to a Dynamic Content Distribution System and Methods > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0156582 A1 - Document ID: US20140156582A1 - Status: Published application - Kind: A1 - Application number: 13/691,698 - Filed: 2012-11-30 - Published: 2014-06-05 - Earliest claimed: 2012-11-30 - Inventors: Jayson Holliewood Cornelius - Web page: https://patentgrep.com/patent/US20140156582A1 ## CPC - G06Q 30/0251: Targeted advertisements - 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 The present invention relates generally to a dynamic content distribution system, and more particularly, relates to usage of Item Response Methods as applied to a dynamic content distribution system and method that uses the Item Response Methods of various Item Response Functions (IRF) to provide digital content to end-users based on psychometric reasoning. More specifically, the instant invention gathers psychometric attributes of Registered Users and combines those psychometric attributes with Item Response Function methods to determine how and when digital content is presents to Registered Users. ## Claims ### Claim 1 A dynamic content distribution method wherein an item response function (IRF) is used to suggest content to end-users based on psychometric reasoning; wherein the content is provided by a relational database management system which stores content and the content is categorized according to psychometric attributes according to predetermined psychological measurement categories; and wherein the categories include the measure of knowledge, abilities, attitudes, and personality traits. ### Claim 2 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to news. ### Claim 3 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to entertainment. ### Claim 4 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to sports. ### Claim 5 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to money and finance. ### Claim 6 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to lifestyle. ### Claim 7 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to music. ### Claim 8 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to movies. ### Claim 9 (depends on 1) The dynamic content distribution method of claim 1 wherein the content suggested relates to local and regional events and information. ### Claim 10 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Personality Attributes as well as to deliver content based on a comparison to the Personality Attributes of other users. ### Claim 11 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Abstract Reasoning Attributes as well as to deliver content based on a comparison to the Abstract Reasoning Attributes of other users. ### Claim 12 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Numerical Reasoning Attributes as well as to deliver content based on a comparison to the Numerical Reasoning Attributes of other users. ### Claim 13 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Verbal Reasoning Attributes as well as to deliver content based on a comparison to the Verbal Reasoning Attributes of other users. ### Claim 14 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Computer Skill Set Attributes as well as to deliver content based on a comparison to the Computer Skill Set Attributes of other users. ### Claim 15 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Emotional Quotient Attributes as well as to deliver content based on a comparison to the Emotional Quotient Attributes of other users. ### Claim 16 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Mechanical Reasoning Attributes as well as to deliver content based on a comparison to the Mechanical Reasoning Attributes of other users. ### Claim 17 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Cognitive Reasoning Attributes as well as to deliver content based on a comparison to the Cognitive Reasoning Attributes of other users. ### Claim 18 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Intelligent Quotient Attributes as well as to deliver content based on a comparison to the Intelligent Quotient Attributes of other users. ### Claim 19 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is used to measure and deliver content based on the user's Spatial Ability Attributes as well as to deliver content based on a comparison to the Spatial Ability Attributes of other users. ### Claim 20 A dynamic content distribution method wherein an item response function (IRF) is used to suggest content from cloud applications to end-users based on psychometric reasoning; wherein the content is provided by a relational database management system which stores content and the content is categorized according to psychometric attributes according to predetermined psychological measurement categories; and wherein the categories include the measure of knowledge, abilities, attitudes, and personality traits. ### Claim 21 (depends on 1) The dynamic content distribution method of claim 1 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 22 (depends on 2) The dynamic content distribution method of claim 2 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 23 (depends on 3) The dynamic content distribution method of claim 3 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 24 (depends on 4) The dynamic content distribution method of claim 4 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 25 (depends on 5) The dynamic content distribution method of claim 5 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 26 (depends on 6) The dynamic content distribution method of claim 6 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 27 (depends on 7) The dynamic content distribution method of claim 7 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 28 (depends on 8) The dynamic content distribution method of claim 8 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 29 (depends on 9) The dynamic content distribution method of claim 9 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 30 The dynamic content distribution method of claim wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 31 (depends on 11) The dynamic content distribution method of claim 11 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 32 (depends on 12) The dynamic content distribution method of claim 12 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 33 (depends on 13) The dynamic content distribution method of claim 13 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 34 (depends on 14) The dynamic content distribution method of claim 14 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 35 (depends on 15) The dynamic content distribution method of claim 15 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 36 (depends on 16) The dynamic content distribution method of claim 16 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 37 (depends on 17) The dynamic content distribution method of claim 17 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 38 (depends on 18) The dynamic content distribution method of claim 18 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 39 (depends on 19) The dynamic content distribution method of claim 19 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM). ### Claim 40 (depends on 20) The dynamic content distribution method of claim 20 wherein the IRF is selected from a group of functions including: a test information function (TIF), an item information function (IIF), a standard error management function (SEM), and an ability estimation model function (AEM).