Apparatus and methods for generating an instruction set

Patent metadata

Field	Value
Publication number	US-12493597-B2
Application number	US-202418776965-A
Country	US
Kind code	B2
Filing date	Jul 18, 2024
Priority date	Jan 9, 2024
Publication date	Dec 9, 2025
Grant date	Dec 9, 2025

Abstract

An apparatus and method for generating an instruction set is provided. The apparatus includes a processor and a memory connected to the processor. The memory contains instructions configuring the processor to send an offer datum from a client device to a user device, receive an acceptance datum from a client device, receive at least a rejection datum from the client device and to receive a threshold datum from a database communicatively connected to the processor Accordingly, the processor may classify the acceptance datum and the rejection datum to the threshold datum by generating a composite acceptance datum and composite rejection datum based and determining whether the composite acceptance datum exceeds a trigger by comparing the composite acceptance datum to the threshold datum, and generate an interface data structure including an input field to receive at least a user-input datum into the input field.

First claim

What is claimed is:

1 . An apparatus for generating an instruction set, the apparatus comprising:
at least a processor; a memory connected to the processor, the memory containing instructions configuring the at least a processor to:
generate an interface data structure, wherein the interface data structure configures a remote display device to display an input field;
receive an offer datum at the input field;
receive at least an acceptance datum from at least a client device, wherein the at least an acceptance datum describes initiation of resource transfer from a respective client device to a user device based on a sequence of activities;
receive at least a rejection datum from at least the client device, wherein the at least a rejection datum describes cessation of resource transfer from a respective client device to the user device based on the sequence of activities;
generate a threshold datum, wherein the threshold datum describes a trigger value required for transformation of the user device from a first condition to a second condition;
compare the at least an acceptance datum and the at least a rejection datum to the threshold datum;
retrieve historical data relating to the at least an acceptance datum and the at least a rejection datum;
determine whether the at least an acceptance datum and the at least a rejection datum and exceed the threshold datum and in relation to the historical data;
configure, using the interface data structure, the remote display device to display the determination;
evaluate a user-input datum by classifying one or more new instances of the user-input datum to at least the threshold datum;
generate at least a divergence value based on the classification; and
display the at least a divergence value.

2 . The apparatus of claim 1 , wherein generating the interface data structure further comprises:
retrieving data describing attributes of a user from a database communicatively connected to the processor; and generating the interface data structure based on the data describing attributes of the user, wherein generating the interface data structure further comprises:
determining at least a vector from the user-input datum to the threshold datum; and
configuring the remote display device to display a representation of at least the vector.

3 . The apparatus of claim 2 , wherein determining the at least the vector from the user-input datum to the threshold datum further comprises generating the vector including an angle value and a distance value, wherein:
the angle value and the distance value describe at least a divergence value between the user-input datum and the threshold datum.

4 . The apparatus of claim 1 , wherein receiving the threshold datum further comprises:
retrieving data describing current preferences of the user device between a minimum value and a maximum value from a database; and receiving a form element input into the input field, wherein the form element describes at least the minimum value.

5 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the at least a processor to:
generate at least an additional input field based on a divergence value, wherein:
the divergence value describes divergence between the composite at least a acceptance datum and the at least a composite rejection datum.

6 . The apparatus of claim 5 , wherein classifying at least the acceptance datum and at least the rejection datum to the threshold datum further comprises:
determining a pattern based on user interaction with a database; classifying at least an element of the pattern to the divergence value; and adjusting the pattern based on a magnitude of the divergence value.

7 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the at least a processor to:
classifying at least an instance of the at least an acceptance datum to the threshold datum; determine a proximity value of a respective acceptance datum to the threshold datum calculated based on classification of the at least an acceptance datum to the threshold datum; and adjusting the threshold datum based on the at least an acceptance datum to reduce the proximity value.

8 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the at least a processor to:
classify the at least an acceptance datum to the threshold datum, wherein classifying the at least an acceptance datum further comprises:
comparing the at least an acceptance datum to the threshold datum; and
determine a parity value based on comparison of the acceptance datum to the threshold datum, wherein the parity value is included within the instruction set.

9 . The apparatus of claim 7 , wherein classifying the at least an acceptance datum and the at least a rejection datum to the threshold datum further comprises:
classifying the at least an acceptance datum to a label selected from a plurality of labels based on at least the divergence value, wherein classifying at least the at least an acceptance datum comprises:
organizing at least some labels based on their respective proximity to a minimal output type and a maximum output type;
aggregating acceptance data based on the classification; and
classifying the aggregated acceptance data to the label having a closest proximity to the maximum output type.

10 . A method for generating an instruction set, the method comprising:
generating, by a computing device an interface data structure, wherein the interface data structure configures a remote display device to display an input field; receiving, by the computing device, an offer datum at the input field; receiving, by the computing device, at least an acceptance datum from at least a client device, wherein the at least an acceptance datum describes initiation of resource transfer from a respective client device to a user device based on a sequence of activities; receiving, by the computing device, at least a rejection datum from at least the client device, wherein the rejection datum describes cessation of resource transfer from a respective client device to the user device based on the sequence of activities; generating, by the computing device, a threshold datum, wherein the threshold datum describes a trigger value required for transformation of the user device from a first condition to a second condition; comparing, by the computing device, the at least an acceptance datum and the least a rejection datum to the threshold datum; retrieving historical data relating to the at least an acceptance datum and the at least a rejection datum; determining whether the at least an acceptance datum and the at least a rejection datum exceed the threshold datum and in relation to the historical data; configuring, using the interface data structure, the remote display device to display the determination; evaluating a user-input datum by classifying one or more new instances of the user-input datum to at least the threshold datum; generating at least a divergence value based on the classification; and displaying the at least a divergence value.

11 . The method of claim 10 , wherein generating the interface data structure further comprises:
retrieving data describing attributes of a user from a database communicatively connected to the computing device; and generating the interface data structure based on the data describing attributes of the user, wherein generating the interface data structure further comprises:
determining at least a vector from the user-input datum to the threshold datum; and
configuring the remote display device to display a representation of at le

Assignees

• The Strategic Coach Inc

Inventors

• Smith Barbara Sue
• Sullivan Daniel J

Classifications

• G06F16/285 Primary

  Clustering or classification · CPC title

• G06F16/2237 Primary

  Vectors, bitmaps or matrices · CPC title