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:
collecting a plurality of human-generated requests for each of a plurality of task categories to create a training database of user requests; extracting a training feature vector from each user request in the training database by assigning a binary value to each different word in the user request to form a training data set having a plurality of training feature vectors for each task category; processing the training feature vectors in the training data set to determine a task classifier model for each 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 determine a predicted task category for the additional request.