Intelligent virtual assistant systems and related methods

The intelligent virtual assistant system of claim 3, the memory comprising at least one executable instruction that when executed cause the processor to effectuate operations further comprising:

• receiving a plurality of user data indicative of personal characteristics of users;
• converting the plurality of user data into a matrix of users-by-scores;
• generating, based on the matrix of user-by-scores, a first cluster of users;
• generating, based on the matrix of user-by-scores, a second cluster of users;
• and
• determining at least one similarity based on outcomes of each of the first and second cluster of users;
• wherein each column of the matrix of users-by-scores is indicative of a score given on a task and each row of the matrix of users-by-scores is indicative of a user who performed the task.

An intelligent virtual assistant system, comprising:

• a processor;
• and
• memory coupled to the processor, the memory comprising at least one executable instruction that when executed cause the processor to effectuate operations comprising:
• receiving a plurality of user interaction data indicative of patterns of usage within an intelligent virtual assistant application;
• determining a first path of user interaction based on the plurality of user interaction data;
• and
• predicting a second path of user interaction based on the first path of user interaction.

An intelligent virtual assistant system, comprising:

• a processor;
• and
• memory coupled to the processor, the memory comprising at least one executable instruction that when executed cause the processor to effectuate operations comprising:
• receiving, via an intelligent virtual assistant application, text data indicative of a user's question;
• receiving a training set data indicative of mapping information that maps existing questions to answers;
• transforming the text data into a vector space representation;
• generating, based on the training set data and the vector space representation, a plurality of candidate responses to the user question, each of the plurality of candidate responses includes probabilistic weight scores;
• determining, based on the probabilistic weight scores, a ranking of the plurality of candidate responses;
• and
• providing, based on the ranking, a response to the intelligent virtual assistant application.

In an intelligent virtual assistant system, a method comprising:

• receiving a question;
• receiving an intent assigned to the question;
• sending the question and intent to a natural language processing training component;
• and
• training a natural language processing model using the training component.