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1. (WO2018183743) COMPOSITE MACHINE-LEARNING SYSTEM FOR LABEL PREDICTION AND TRAINING DATA COLLECTION

Pub. No.:    WO/2018/183743    International Application No.:    PCT/US2018/025247
Publication Date: Fri Oct 05 01:59:59 CEST 2018 International Filing Date: Fri Mar 30 01:59:59 CEST 2018
IPC: G06Q 40/00
G06Q 30/04
G06N 99/00
Applicants: INTUIT INC.
Inventors: HSIAO, Yu-Chung
PEI, Lei
CHEN, Meng
HO, Nhung
Title: COMPOSITE MACHINE-LEARNING SYSTEM FOR LABEL PREDICTION AND TRAINING DATA COLLECTION
Abstract:
The present disclosure provides a composite machine-learning system for a transaction labeling service. A transaction labeling service receives at least one descriptive string describing a transaction associated with a user. The service identifies a preliminary grouping from a generalized scheme. The service extracts a set of N-grams from the descriptive string and converts the N-grams and the preliminary grouping into a set of features. A machine-learning model determines a label from a labeling scheme for the transaction based on the features. User input related to the label includes an accuracy indicator and a reliability indicator. If the reliability indicator satisfies a reliability condition, a set of training data for the machine-learning model is updated based on the descriptive string and the label. The machine-learning model is then trained against the updated set of training data.