Salesforce, inc. (20240193373). DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT simplified abstract
Contents
- 1 DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT
Organization Name
Inventor(s)
Zachary Alexander of Berkeley CA (US)
Yixin Mao of San Francisco CA (US)
DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193373 titled 'DATABASE SYSTEMS WITH USER-CONFIGURABLE AUTOMATED METADATA ASSIGNMENT
Simplified Explanation
This patent application describes a database system and methods for assigning structural metadata to records and creating automations based on that metadata. One method involves modifying conversations, reassigning them to different groups based on their content, and updating the records accordingly.
Key Features and Innovation
- Assigning structural metadata to records
- Creating automations using the metadata
- Modifying conversations based on user input
- Reassigning conversations to different groups
- Updating records with new metadata
Potential Applications
This technology could be used in customer service systems to categorize and manage conversations more efficiently. It could also be applied in data analysis tools to organize and analyze large amounts of text data.
Problems Solved
This technology addresses the challenge of organizing and categorizing large volumes of conversation records. It helps streamline the process of managing and analyzing textual data.
Benefits
- Improved organization of conversation records
- Enhanced efficiency in data analysis
- Automation of metadata assignment process
- Better categorization of semantically similar conversations
Commercial Applications
- Customer service management systems
- Data analysis and text mining tools
- Communication platforms with large amounts of textual data
Prior Art
Readers can explore prior art related to database systems, metadata assignment, and conversation analysis in the fields of information retrieval, natural language processing, and machine learning.
Frequently Updated Research
Stay updated on advancements in database systems, metadata management, and conversation analysis to enhance the efficiency and accuracy of this technology.
Questions about the Technology
What are the potential commercial uses of this technology?
This technology could be applied in various industries such as customer service, data analysis, and communication platforms to improve efficiency and organization.
How does this technology streamline the process of managing conversation records?
By automatically assigning metadata and reorganizing conversations based on their content, this technology simplifies the categorization and analysis of textual data.
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 to a group of conversation records involves receiving a user input modification pertaining to a group of semantically similar conversations, automatically reassigning a conversation to a different group of semantically similar conversations based on its representative utterance in a manner that is influenced by the user input modification, and automatically updating, at a database system, a record associated with the conversation to include metadata identifying the different group of semantically similar conversations.
