CPC G06F 16/907 (2019.01) [G06F 16/3329 (2019.01); G06F 16/90332 (2019.01); G06N 20/00 (2019.01); H04L 67/10 (2013.01)] | 20 Claims |
1. A system, comprising:
a memory that stores computer executable components;
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a dialog strategy component that iteratively performs, while a user is engaged in a dialog with an information system:
trains a machine learning model to learn items and features associated with user dialogues for generating and selecting questions to present to the user, the training comprising:
obtains, by the machine learning model, dialogue input data from the user;
generates, by the machine learning model, an open-ended question and a closed-ended question based on the dialogue input data; and
selects, by the machine learning model, dialogue one of the open-ended question or the closed-ended question that produces a highest amount of change of entropy associated with information gain for presentation by the information system in response to the dialogue input data.
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