Microsoft technology licensing, llc (20240211682). A PERSONALIZED COMMUNICATION TEXT COMPRESSION SYSTEM simplified abstract
Contents
A PERSONALIZED COMMUNICATION TEXT COMPRESSION SYSTEM
Organization Name
microsoft technology licensing, llc
Inventor(s)
Amartya Chaudhuri of Bangalore (IN)
Kushal Ghosh of Bangalore (IN)
Kumar Abhishek of Bangalore (IN)
A PERSONALIZED COMMUNICATION TEXT COMPRESSION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211682 titled 'A PERSONALIZED COMMUNICATION TEXT COMPRESSION SYSTEM
The abstract describes a method and system for creating and using a personalized compression system. This involves extracting features from a written document, generating multiple summaries of different lengths for the document, displaying these summaries to a user, receiving the user's selection, and refining a machine learning model based on the selected summary to create a personalized model.
- Method and system for personalized compression system
- Extracting features from a document and generating multiple summaries
- Displaying summaries to a user for selection
- Refining machine learning model based on user's selection
- Creating a personalized machine learning model
Potential Applications: - Text summarization tools - Personalized content delivery systems - Document management systems
Problems Solved: - Efficient summarization of lengthy documents - Tailoring content to individual preferences
Benefits: - Improved user experience - Time-saving in information processing - Enhanced personalization in content delivery
Commercial Applications: Title: Personalized Text Summarization System for Enhanced User Experience This technology can be utilized in various industries such as: - Content creation platforms - E-learning platforms - News aggregation services
Prior Art: Further research can be conducted in the field of personalized content delivery systems and text summarization tools to explore existing technologies and innovations.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for text summarization and personalized content delivery systems.
Questions about Personalized Compression System: 1. How does the personalized compression system improve user experience? 2. What are the potential challenges in implementing personalized machine learning models for text summarization?
Original Abstract Submitted
a method and system for generating and utilizing a personalized compression system includes receiving a first writing, extracting features from the first writing into hash values, generating a plurality of summaries for the first writing, each summary of the plurality of summaries having a different length, causing display of at least one summary of the plurality of summaries on a client, receiving, from a user of the client, an indication of a selection based on the displayed at least one of summary of the plurality of summaries, and refining the baseline machine learning model based on the hash values and the selected summary to generate a personalized machine learning model.
