CPC H04L 51/02 (2013.01) [G06N 3/04 (2013.01); G06N 3/08 (2013.01); H04L 51/216 (2022.05); H04L 51/224 (2022.05)] | 20 Claims |
1. A method for condensing user communications relating to a first topic, the method for use with a system, the system comprising a processor and a non-transitory memory with instructions stored thereon, wherein the instructions upon execution by the processor, cause the processor to execute the method, said method comprising:
designating a topic of user interest, said topic of user interest being designated by receiving a selection of one of the 100 most common nouns appearing in a database;
retrieving in real-time legacy e-mail communications stored in the database regarding the topic of user interest;
determining, using the processor, whether duplicative e-mail communications are included among the retrieved legacy e-mail communications and, to the extent that duplicative e-mail communications are included in the retrieved legacy e-mail communications, removing said duplicative e-mail communications from the retrieved legacy e-mail communications;
retrieving in real-time legacy intelligence stored in the database relating to historical user selections regarding the topic of user interest;
retrieving in real-time a plurality of outcomes stored in the database based on the legacy intelligence;
with respect to the topic of user interest, forming, said forming comprising mining information that relates to the retrieved legacy e-mail communications, the retrieved legacy intelligence, and the retrieved plurality of outcomes, a topic-centric training set for a neural network, said topic-centric training set being based on the retrieved legacy e-mail communications, the retrieved legacy intelligence, and the retrieved plurality of outcomes, said topic-centric training set being delimited by an analysis of the database, said neural network comprising a plurality of nodes;
synthesizing the neural network, said synthesizing using the topic-centric training set to assign individual weights to each of the plurality of nodes based on the retrieved legacy e-mail communications, the retrieved legacy intelligence, and the retrieved plurality of outcomes;
in response to a selection of the topic of user interest, generating, for display to a user, a plurality of topic-related user options based on the neural network; and
prompting the user to select one of the plurality of topic-related user options.
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