18288544. A PERSONALIZED COMMUNICATION TEXT COMPRESSION SYSTEM simplified abstract (Microsoft Technology Licensing, LLC)
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 18288544 titled 'A PERSONALIZED COMMUNICATION TEXT COMPRESSION SYSTEM
- Simplified Explanation:**
The patent application 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 feedback on the displayed summaries, and refining a machine learning model based on this feedback to create a personalized model.
- Key Features and Innovation:**
- Extracting features from a written document into hash values - Generating multiple summaries of different lengths for the document - Displaying summaries to a user for selection - Refining a machine learning model based on user feedback to create a personalized model
- Potential Applications:**
- Text summarization - Personalized content delivery - Machine learning model refinement
- Problems Solved:**
- Providing personalized summaries for written documents - Improving user experience with content consumption - Enhancing machine learning models through user feedback
- Benefits:**
- Improved content comprehension - Tailored information delivery - Enhanced machine learning model accuracy
- Commercial Applications:**
Potential commercial applications include: - Content recommendation systems - Personalized news aggregation platforms - Educational tools for summarizing text
- Prior Art:**
Readers can start searching for prior art related to personalized content summarization, machine learning model refinement, and text compression systems.
- Frequently Updated Research:**
Stay updated on advancements in machine learning algorithms for text summarization and personalized content delivery.
- Questions about Personalized Compression System:**
1. How does the personalized compression system improve user experience with written content? 2. What are the potential implications of using a personalized machine learning model 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.
