Invention Grant
- Patent Title: Capturing organization specificities with embeddings in a model for a multi-tenant database system
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Application No.: US16049649Application Date: 2018-07-30
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Publication No.: US11328203B2Publication Date: 2022-05-10
- Inventor: Guillaume Jean Mathieu Kempf
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Haynes & Boone, LLP
- Main IPC: G06F16/30
- IPC: G06F16/30 ; G06N3/04 ; G06N3/08 ; G06F16/951 ; G06F16/953

Abstract:
For a multi-tenant database accessible by a plurality of separate organizations, a system is provided for capturing organization specificities in a model for the multi-tenant database. The system includes a neural network. The system is configured to: receive an organization encoding for one or more separate organizations making previous search queries into the multi-tenant database; generate a vector matrix from the organization encoding to embed organization specificities for training a model of the neural network; and using the vector matrix, train the model of the neural network for processing a present search query into the multi-tenant database. In some embodiments, the model of the neural network is global across the separate organizations accessing the database.
Public/Granted literature
- US20200034685A1 CAPTURING ORGANIZATION SPECIFICITIES WITH EMBEDDINGS IN A MODEL FOR A MULTI-TENANT DATABASE SYSTEM Public/Granted day:2020-01-30
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