Determining content values to render in a computer user interface based on user feedback and information

A system for determining sections displayed in a computer user interface to modify based on user feedback from a user reviewing the displayed sections, comprising:

• a processor;
• and
• a computer readable storage medium having computer readable program code embodied therein that when executed by the processor performs operations, the operations comprising:
• providing a plurality of concurrently rendered sections in the computer user interface having rendered content values in the concurrently rendered sections;
• maintaining section entry data structures for the concurrently rendered sections, wherein there is a different section entry data structure for each section of the concurrently rendered sections having substitutable content, wherein each section entry data structure of the section entry data structures indicate multiple content values to render in the section for which the section entry data structure provides content values and desirability ratings of the content values from a perspective of the user reviewing the concurrently rendered sections;
• detecting a section of the concurrently rendered sections in the computer user interface that the user is observing, wherein a rendered content value rendered in the detected section that the user is observing is indicated in a section entry data structure for the detected section;
• detecting, from a monitoring device, user biometric data;
• determining personal information of the user;
• providing as input to a machine learning module the rendered content value, the user biometric data, and the personal information of the user;
• receiving as output, from the machine learning module, indication of likelihood that the user approved or disapproved of the rendered content value;
• and
• in response to the output indicating the user disapproved of the rendered content value, rendering in the detected section a substitute content value of a plurality of content values provided in the section entry data structure for the detected section having a higher desirability rating than a desirability rating of the rendered content value, wherein the substitute content value is substituted into the detected section in real-time while the user is viewing the concurrently rendered sections;
• receiving indication from the user whether the user approved or disapproved of the rendered content value;
• in response to receiving indication the user approved of the rendered content value, retraining the machine learning module to produce as output that the user likely approved the rendered content value for the input provided to the machine learning module for the rendered content value the user was observing including the user biometric data and the personal information of the user;
• and
• in response to receiving indication the user disapproved of the rendered content value, retraining the machine learning module to produce as output that the user likely disapproved of the rendered content value for the input provided to the machine learning module for the rendered content value the user was observing including the user biometric data and the personal information of the user.

A computer implemented method for determining sections displayed in a computer user interface to modify based on user feedback from a user reviewing the displayed sections, comprising:

• providing a plurality of concurrently rendered sections in the computer user interface having rendered content values in the concurrently rendered sections;
• maintaining section entry data structures for the concurrently rendered sections, wherein there is a different section entry data structure for each section of the concurrently rendered sections having substitutable content, wherein each section entry data structure of the section entry data structures indicate multiple content values to render in the section for which the section entry data structure provides content values and desirability ratings of the content values from a perspective of the user reviewing the concurrently rendered sections;
• detecting a section of the concurrently rendered sections in the computer user interface that the user is observing, wherein a rendered content value rendered in the detected section that the user is observing is indicated in a section entry data structure for the detected section;
• detecting, from a monitoring device, user biometric data;
• determining personal information of the user;
• providing as input to a machine learning module the rendered content value, the user biometric data, and the personal information of the user;
• receiving as output, from the machine learning module, indication of likelihood that the user approved or disapproved of the rendered content value;
• in response to the output indicating the user disapproved of the rendered content value, rendering in the detected section a substitute content value of a plurality of content values provided in the section entry data structure for the detected section having a higher desirability rating than a desirability rating of the rendered content value, wherein the substitute content value is substituted into the detected section in real-time while the user is viewing the concurrently rendered sections;
• receiving indication from the user whether the user approved or disapproved of the rendered content value rendered in the detected section;
• in response to receiving indication the user approved of the rendered content value, retraining the machine learning module to produce as output that the user likely approved the rendered content value for the input provided to the machine learning module for the rendered content value the user was observing including the user biometric data and the personal information of the user;
• and
• in response to receiving indication the user disapproved of the rendered content value, retraining the machine learning module to produce as output that the user likely disapproved of the rendered content value for the input provided to the machine learning module for the rendered content value the user was observing including the user biometric data and the personal information of the user.