Suggesting follow up questions from user behavior

A computer program product for generating follow-up questions based on machine learning utilizing a computing device, the computer program product comprising:

• one or more computer-readable tangible storage devices and program instructions stored on at least one of the one or more computer-readable tangible storage devices, the program instructions comprising:
• program instructions to receive an input question from a user;
• program instructions to parse the received input question to extract input question components, wherein parsing utilizes natural language processing techniques;
• program instructions to execute trained question component models to predict follow-up question components, wherein the extracted input question components are utilized as inputs to the trained question component models;
• program instructions to combine the predicted follow-up question components to generate one or more follow-up questions;
• and
• program instructions to return the one or more follow-up questions to the user.

A computer system for generating follow-up questions based on machine learning utilizing a computing device, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more computer-readable tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, the program instructions comprising:
• program instructions to receive an input question from a user;
• program instructions to parse the received input question to extract input question components, wherein parsing utilizes natural language processing techniques;
• program instructions to execute trained question component models to predict follow-up question components, wherein the extracted input question components are utilized as inputs to the trained question component models;
• program instructions to combine the predicted follow-up question components to generate one or more follow-up questions;
• and
• program instructions to return the one or more follow-up questions to the user.