Automatic task classification based upon machine learning

摘要

A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

主权项

1. A machine-implemented method, comprising:
requesting a plurality of users to generate human-generated user requests for each of a plurality of task categories to collect a plurality of the human-generated user requests to create a training database of user requests, each user request corresponding uniquely to one of the task categories; for each task category, extracting a training feature vector from each corresponding user request in the training database by assigning a numeric value to each different word in the corresponding user request to form a training data set having a plurality of training feature vectors for each task category; for each task category, processing the training feature vectors in the training data set corresponding to the task category to determine a task classifier model for the task category; receiving an additional request from a user, the additional request being classifiable into one of the task categories; and in the machine, comparing an extracted feature vector from the additional request to the task classifier model to identify which task category corresponds to the additional request.