| CPC G06Q 10/06398 (2013.01) | 25 Claims |
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1. An apparatus for providing a skill factor hierarchy to a user, the apparatus comprising:
at least a processor;
a memory connected to the processor, the memory containing instructions configuring the processor to:
receive a commitment datum describing a pattern that is representative of user activity progressing to match a target;
receive a target datum;
identify a novelty datum as a function of the commitment datum;
identify a first skill factor datum as a function of the novelty datum; and
refine the first skill factor datum which further comprises:
classifying the novelty datum to the first skill factor datum using a machine learning model comprising a classifier which further comprises:
receiving training data, wherein the training data is a data set that correlates a plurality of novelty datum to a plurality of first skill datum;
generating the machine learning model, wherein the machine learning model comprises an input layer of nodes, at least one intermediate layer, and an output layer of nodes, wherein a connection between the nodes is created;
training, iteratively, the machine learning model using the training data, wherein training the machine learning model includes retraining the machine learning model with feedback from previous iterations of the machine learning model, wherein the connection between nodes in adjacent layers is adjusted to produce values at the output layer of nodes; and
refining, as a function of the trained machine learning model, the first skill factor datum;
aggregating the first skill factor datum with at least one second skill factor datum based on the classification to output a customized skill factor for the user to attain the target datum; and
generate an interface query data structure including an input field based on the aggregation of the first skill factor datum with the at least one second skill factor datum, wherein the interface query data structure configures a remote display device to:
display the input field to the user;
receive at least one user-input datum into the input field, the at least one user-input datum describing data for selecting a preferred attribute of any one or more skills associated with one or more instances of the aggregated first skill factor datum with the at least one second skill factor datum, wherein the preferred attribute comprises a confidence attribute;
classify the at least one user-input datum as a function of the target datum; and
display the first skill factor datum and the at least one second skill factor datum hierarchically based on the classified at least a user-input datum.
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