CPC G06F 18/2185 (2023.01) [G06F 18/2148 (2023.01); G06N 5/045 (2013.01); G06N 20/00 (2019.01)] | 23 Claims |
1. A method for modifying a set of data for training a machine learning system, the method comprising:
causing, by a processor, the machine learning system to be trained using a first set of data:
determining by the machine learning system to transmit to a user device, sales lead information from among a plurality of sales leads;
transmitting, by the processor and to the user device, a message, wherein the message includes an explanation of the determination, by the machine learning system, to transmit the sales lead information from among the plurality of sales leads;
receiving, by the processor in response to the message and from the user device, a signal, wherein the signal includes an indication of a usefulness of the message to a user of the user device, in making a decision to perform an action based on a knowledge associated with the sales lead information;
modifying, by the processor and in response to a receipt of the signal, the first set of data to produce a second set of data; and
causing, by the processor, the machine learning system to be trained using the second set of data.
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