Invention Application
- Patent Title: MACHINE LEARNING DATA ANALYSIS SYSTEM AND METHOD
- Patent Title (中): 机器学习数据分析系统和方法
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Application No.: PCT/US2017/060567Application Date: 2017-11-08
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Publication No.: WO2018089443A1Publication Date: 2018-05-17
- Inventor: VIGODA, Benjamin W. , BARR, Matthew C. , NEELY, Jacob E. , RING, Daniel F. , FORSYTHE, Martin Blood Zwirner , ROLLINGS, Ryan C. , MARKOVICH, Thomas , ZIMOCH, Pawel Jerzy , FINKLESTEIN, Jeffrey , MAKHOUL, Khaldoun , KEARNEY, Glynnis
- Applicant: GAMALON, INC.
- Applicant Address: 101 Main Street, 14th Floor Cambridge, Massachusetts 02142 US
- Assignee: GAMALON, INC.
- Current Assignee: GAMALON, INC.
- Current Assignee Address: 101 Main Street, 14th Floor Cambridge, Massachusetts 02142 US
- Agency: COLANDREO, Brian J. et al.
- Priority: US62/419,790 20161109; US62/453,258 20170201; US62/516,519 20170607; US62/520,326 20170615
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30 ; G06N5/00
Abstract:
A computer-implemented method, computer program product and computing system for receiving non-structured content concerning a plurality of items. The non-structured content is processed to identify one or more proposed features for the plurality of items. The one or more proposed features are provided to a user for review. Feature feedback concerning the one or more proposed features is received. The one or more proposed features are modified based, at least in part, upon the feature feedback received from the user, thus generating one or more approved features
Information query
