Invention Grant
- Patent Title: Classification training techniques to map datasets to a standardized data model
-
Application No.: US15660547Application Date: 2017-07-26
-
Publication No.: US10902322B2Publication Date: 2021-01-26
- Inventor: Shagun Sodhani , Balaji Krishnamurthy
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N20/00 ; G06N20/10 ; G06N3/04

Abstract:
A standardized data model (“SDM”) includes standardized data types that indicate classifications of data elements. In a data service platform, such as a marketing data platform, a data standardization module classifies received data elements. One or more components included in the data standardization module are trained using supervised or unsupervised learning techniques to classify received data elements into a standardized data type included in the SDM. In some cases, an output of an unsupervised learning phase is provided as an input to a supervised learning phase. In some cases, a classified data element is modified by the data standardization module to indicate the standardized data type into which the data element is classified.
Public/Granted literature
- US20190034801A1 Classification Training Techniques to Map Datasets to a Standardized Data Model Public/Granted day:2019-01-31
Information query