Machine Learning System

摘要

Machine learning methods and systems are provided. A machine learning system receives item-descriptive data corresponding to a plurality of uncategorized items and programmatically associates, based on the item-descriptive data, each of the uncategorized items with a user account. The system compares, by a machine learning algorithm, the item-descriptive data with existing item-descriptive data corresponding to a number of previously categorized items and automatically decides to which of one or more item categories the uncategorized data should be assigned based on dynamically learned behavior, the one or more item categories being defined in the user account. The system automatically assigns, based on the comparison and decision, each of the plurality of uncategorized items to the one or more item categories to generate a plurality of newly categorized items and adds the automatic item category assignments and corresponding newly categorized items to the number of previously categorized items.

主权项

1. A machine learning system comprising:
a data reader configured to acquire and transmit item-descriptive data corresponding to each of a plurality of uncategorized items; and a machine learning module in electronic communication with the data reader and including instructions stored in a memory that when executed by a processor cause the machine learning module to:
receive, by a communications device of the machine learning module, the electronic item-descriptive data transmitted by the data reader,programmatically associate, based on user-identifying information included in the item-descriptive data, each of the plurality of uncategorized items with a user account in a user account database stored in the memory of the machine learning module,verify a presence of a threshold number of previously categorized items associated with the user account,compare, by a machine learning algorithm executed by the processor, the item-descriptive data corresponding to each of the plurality of uncategorized items with existing item-descriptive data corresponding to each of the previously categorized items,automatically decide to which of one or more item categories the uncategorized data should be assigned based on dynamically learned behavior, the one or more item categories being defined in the user account; automatically assign, based on the comparison and decision, each of the plurality of uncategorized items to the one or more item categories to generate a plurality of newly categorized items in the user account, and
add the automatic item category assignments and corresponding newly categorized items to the number of previously categorized items associated with the user account.