Invention Grant
- Patent Title: Discover unidirectional associations among terms or documents
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Application No.: US16784954Application Date: 2020-02-07
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Publication No.: US11526806B2Publication Date: 2022-12-13
- Inventor: Ritu Singh , Rakesh Ranjan , Simao Liu
- 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: VanLeeuwen & VanLeeuwen
- Agent Jorge Maranto
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06K9/62 ; G06V10/75

Abstract:
An approach is provided in which the approach trains a machine learning model using reference entries included in a reference dataset. During the training, the machine learning model learns a first set of unidirectional associations between the reference entries. The approach inputs a user dataset into the trained machine learning model and generates a second set of unidirectional associations between user dataset entries included in the user dataset. The approach builds a hierarchical relationship of the user dataset based on the second set of unidirectional associations and manages the user dataset based on the hierarchical relationship.
Public/Granted literature
- US20210248508A1 DISCOVER UNIDIRECTIONAL ASSOCIATIONS AMONG TERMS OR DOCUMENTS Public/Granted day:2021-08-12
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