US 11,915,265 B2
System and method for accurate predictions using a predictive model
Matthew Clark Miller, Louisville, KY (US)
Assigned to RAADZ INC., Louisville, KY (US)
Filed by RAADZ INC., Louisville, KY (US)
Filed on Apr. 21, 2023, as Appl. No. 18/305,322.
Application 18/305,322 is a continuation in part of application No. 17/727,695, filed on Apr. 22, 2022, granted, now 11,669,848.
Prior Publication US 2023/0342813 A1, Oct. 26, 2023
Int. Cl. G06Q 30/0251 (2023.01); G06Q 30/0241 (2023.01); G06Q 30/0203 (2023.01); G06Q 10/0637 (2023.01)
CPC G06Q 30/0254 (2013.01) [G06Q 10/06375 (2013.01); G06Q 30/0203 (2013.01); G06Q 30/0277 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a content item from an inquirer, using a processor;
deploying a mobile app configured to present and review the content item in at least one feedback session to a plurality of devices associated with a plurality of users;
placing the content item on an advertising web platform comprising an inquirer platform interface, using the processor, said inquirer platform interface comprising a selection and targeting interface configured to permit the inquirer to select from the plurality of users, a predicting group comprising predicting group users identified by a plurality of characteristics comprising a predicting group location and a location radius;
said selection and targeting interface further configured to permit the inquirer to select, from the plurality of users, a target group comprising target group members identified by a plurality of characteristics comprising at least one characteristic distinct from the predicting group plurality of characteristics and wherein no member of the target group members is a user of the predicting group users, and said selection and targeting interface further configured to visually display on a graphical user interface results display a plurality of responder icons individually representing individual predicting group users;
receiving user location information for the predicting group users and the target group members based on sensor data from the devices of the predicting group users and the target group members, using the processor;
displaying on the results display an initial arrangement of the responder icons representing predicting group users located within the location radius determined as a function of the sensor data from the devices of the predicting group users, wherein the initial arrangement is determined as a function of historical prediction accuracy of predicting group users, using the processor; and
initiating a first feedback session comprising:
providing an initial visual indication comprising a graphic displayed on the mobile device of each user of the predicting group users within the location radius based on the sensor data from the devices of the predicting group users, said visual indication configured to notify the predicting group users they can submit predictions, using the processor;
presenting the content item and at least one of the plurality of characteristics of the target group in the first feedback session to the predicting group users, using a plurality of content user interfaces comprising a plurality of graphical user displays in a plurality of answer interfaces configured in each deployed mobile app of the devices of the predicting group users to receive responses to at least one question answered by the predicting group users during the first feedback session, using the processor;
receiving, from the predicting group users, a first plurality of responses in the plurality of answer interfaces to the at least one question and a prediction, using the processor, wherein each of the first plurality of responses received by the processor comprise the predictions of how the target group members will respond to the at least one question concerning the content item; and
providing a session ending visual indication of the first feedback session comprising a graphic displayed on the mobile device of each of the predicting group users that moves beyond the location radius, using the processor and the sensor data from the devices of the predicting group users; otherwise, continuing the first feedback session, comprising:
determining a first predictive model comprising a first comparison value calculated from the first plurality of responses, using the processor;
determining a first plurality of deviation values in the first predictive model, using the processor;
sorting the first plurality of responses according to the first plurality of deviation values, using the processor; and
creating and providing to the inquirer an ordered visual representation of the sorted first plurality of responses and an updated arrangement of the responder icons, wherein the responder icons are rearranged as a function of prediction accuracy measured in the first feedback session based on the first plurality of responses for the predicting group users located within the location radius determined as a function of the sensor data from the mobile devices, and wherein the sorted first plurality of responses and updated arrangement of the responder icons are displayed in the graphical user interface results display of the inquirer platform interface, using the processor, whereby the inquirer determines content item effect.