18732556. PERSONALIZED AUTONOMOUS SPREADSHEETS simplified abstract (Google LLC)
Contents
PERSONALIZED AUTONOMOUS SPREADSHEETS
Organization Name
Inventor(s)
Andrew J. Lavery of Austin TX (US)
Earl J. Wagner of Chicago IL (US)
Matthew Albright of Montclair NJ (US)
PERSONALIZED AUTONOMOUS SPREADSHEETS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18732556 titled 'PERSONALIZED AUTONOMOUS SPREADSHEETS
Simplified Explanation: The method described in the abstract involves creating a personalized document with a tabular structure based on a natural language query from a user. The document is populated with data items retrieved from external sources related to the user.
Key Features and Innovation:
- Creation of personalized documents with tabular structures based on natural language queries.
- Utilization of external data sources, including subjective data sources related to the user.
- Populating the document with data items retrieved from external sources.
Potential Applications: This technology could be applied in various fields such as personalized document generation, data analysis, and information organization.
Problems Solved: This technology addresses the need for efficiently creating personalized documents with relevant data items for users.
Benefits:
- Streamlined process for creating personalized documents.
- Enhanced user experience with tailored information.
- Improved data accuracy and relevance in documents.
Commercial Applications: The technology could be utilized in industries such as data management, customer relationship management, and personalized content creation for marketing purposes.
Prior Art: Readers interested in exploring prior art related to this technology could start by researching document generation methods, data retrieval techniques, and natural language processing algorithms.
Frequently Updated Research: Stay updated on advancements in natural language processing, data retrieval from external sources, and personalized document generation techniques for potential improvements in this technology.
Questions about Personalized Document Generation: 1. How does this technology ensure data accuracy and relevance in personalized documents? 2. What are the potential privacy concerns associated with retrieving data from external sources for personalized document generation?
Original Abstract Submitted
A method includes receiving, by a processing device from a client device associated with a user, a natural language query corresponding to a request to create, for the user, a personalized document having a tabular structure, determining, by the processing device, one or more attribute categories pertaining to the personalized document, identifying, by the processing device, at least one external data source including at least one subjective data source related to the user, retrieving, by the processing device from the at least one external data source, data items indicative of the one or more attribute categories, and generating, by the processing device, the personalized document for the user by populating each cell of the personalized document with a respective data item.
