Invention Grant
- Patent Title: Feature learning on customer journey using categorical sequence data
-
Application No.: US15095850Application Date: 2016-04-11
-
Publication No.: US10692099B2Publication Date: 2020-06-23
- Inventor: Hongfei Li , Anshul Sheopuri , Jinfeng Yi , Qi Yu
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Joseph Petrokaitis
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N5/02 ; G06N99/00 ; G06N20/00
Abstract:
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.
Public/Granted literature
- US20170293919A1 FEATURE LEARNING ON CUSTOMER JOURNEY USING CATEGORICAL SEQUENCE DATA Public/Granted day:2017-10-12
Information query
