Invention Grant
- Patent Title: Representation learning with side information
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Application No.: US17452818Application Date: 2021-10-29
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Publication No.: US12223274B2Publication Date: 2025-02-11
- Inventor: Oren Barkan , Avi Caciularu , Idan Rejwan , Yonathan Weill , Noam Koenigstein , Ori Katz , Itzik Malkiel , Nir Nice
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Holzer Patel Drennan
- Main IPC: G06F40/295
- IPC: G06F40/295 ; G06F16/28 ; G06N7/01 ; G06N20/00

Abstract:
A relational similarity determination engine receives as input a dataset including a set of entities and co-occurrence data that defines co-occurrence relations for pairs of the entities. The relational similarity determination engine also receives as input side information defining explicit relations between the entities. The relational similarity determination engine jointly models the co-occurrence relations and the explicit relations for the entities to compute a similarity metric for each different pair of entities within the dataset. Based on the computed similarity metrics, the relational similarity determination engine identifies a most similar replacement entity from the dataset for each of the entities within the dataset. For a select entity received as an input, the relational similarity determination engine outputs the identified most similar replacement entity.
Public/Granted literature
- US20230137718A1 REPRESENTATION LEARNING WITH SIDE INFORMATION Public/Granted day:2023-05-04
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