Salesforce, inc. (20240193167). DATABASE SYSTEMS WITH ADAPTIVE AUTOMATED METADATA ASSIGNMENT simplified abstract
Contents
DATABASE SYSTEMS WITH ADAPTIVE AUTOMATED METADATA ASSIGNMENT
Organization Name
Inventor(s)
Zachary Alexander of Berkeley CA (US)
Yixin Mao of San Francisco CA (US)
DATABASE SYSTEMS WITH ADAPTIVE AUTOMATED METADATA ASSIGNMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193167 titled 'DATABASE SYSTEMS WITH ADAPTIVE AUTOMATED METADATA ASSIGNMENT
The patent application describes database systems and methods for assigning structural metadata to records and creating automations using the structural metadata. One method involves determining semantically similar conversations, evaluating clustering performance metrics, and automatically assigning conversations to groups based on representative utterances.
- Assigning structural metadata to records
- Creating automations using the structural metadata
- Determining semantically similar conversations
- Evaluating clustering performance metrics
- Automatically assigning conversations to groups based on representative utterances
Potential Applications: - Customer service automation - Content organization in databases - Data analysis and categorization
Problems Solved: - Efficiently organizing and categorizing large amounts of data - Automating processes based on structural metadata
Benefits: - Improved data organization and accessibility - Time-saving automation of tasks - Enhanced data analysis capabilities
Commercial Applications: Title: Automated Data Categorization and Analysis for Customer Service Industry This technology can be utilized in customer service industries to streamline data organization and automate processes, leading to improved efficiency and customer satisfaction.
Prior Art: Further research can be conducted in the field of natural language processing and data clustering techniques to explore similar technologies.
Frequently Updated Research: Stay updated on advancements in natural language processing algorithms and database management systems to enhance the capabilities of this technology.
Questions about the technology: 1. How does this technology improve data organization and automation processes? 2. What are the potential applications of this technology in different industries?
Original Abstract Submitted
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.
