Invention Grant
- Patent Title: Database systems with adaptive automated metadata assignment
-
Application No.: US18064696Application Date: 2022-12-12
-
Publication No.: US12079224B2Publication Date: 2024-09-03
- Inventor: Zachary Alexander , Yixin Mao
- Applicant: Salesforce, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Salesforce, Inc.
- Current Assignee: Salesforce, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Lorenz & Kopf, LLP
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F16/00 ; G06F16/242 ; G06F16/2457 ; G06F16/28

Abstract:
Database systems and methods are provided for assigning structural metadata to records and creating automations using the structural metadata. One method of assigning structural metadata involves determining a candidate group of semantically similar conversations based on unassigned conversations, determining a clustering performance metric associated with the candidate group based on a relationship between the candidate group and a plurality of existing groups of semantically similar conversations, and when the clustering performance metric is greater than a threshold, automatically assigning one or more unassigned conversations to the candidate group based on the representative utterances associated therewith and automatically updating one or more associated records at a database system to include metadata identifying the candidate group.
Public/Granted literature
- US20240193167A1 DATABASE SYSTEMS WITH ADAPTIVE AUTOMATED METADATA ASSIGNMENT Public/Granted day:2024-06-13
Information query