FEATURE LEARNING ON CUSTOMER JOURNEY USING CATEGORICAL SEQUENCE DATA

Patent №

US 10,692,099

Granted

2020-06-23

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15095850

A method and system are provided. The method includes converting, by a computer having a processor and a memory, categorical sequence data for a customer journey into a numerical similarity matrix. The method further includes learning, by the computer, features of the customer journey by applying a distance metric learning based matrix factorization approach to the numerical similarity matrix.

AI classification

Natural language1.00
Machine learning1.00
Planning1.00
AI hardware0.99
Vision0.99
Knowledge representation0.22
Evolutionary computation0.06
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 382470018

Assignors

LI, HONGFEI, SHEOPURI, ANSHUL, YI, JINFENG, YU, QI

On an employer assignment, the assignors are typically the inventors.

From the same owner

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