18177355. Digital Content Migration simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
Digital Content Migration
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Kelley Anders of East New Market MD (US)
Francisco Chavez Clemente of Tlajomulco (MX)
Digital Content Migration - A simplified explanation of the abstract
This abstract first appeared for US patent application 18177355 titled 'Digital Content Migration
The abstract describes a method for migrating digital content based on a confidence score generated by a machine learning model analyzing user engagement activity.
- Simplified Explanation:
A machine learning model generates a confidence score to migrate digital content from a source data repository to a target data repository based on user engagement activity.
- Key Features and Innovation:
- Utilizes a machine learning model to assess user engagement with digital content - Generates a confidence score for content migration - Executes migration based on the confidence score meeting a threshold level
- Potential Applications:
- Content management systems - Data migration tools - Digital asset management platforms
- Problems Solved:
- Efficient migration of digital content - Improved user experience in accessing relevant content - Automated decision-making in content migration
- Benefits:
- Enhanced user engagement - Streamlined content organization - Time and cost savings in content migration processes
- Commercial Applications:
Optimizing content migration processes in various industries such as publishing, e-commerce, and information management.
- Questions about Digital Content Migration:
1. How does the machine learning model analyze user engagement activity? 2. What are the key factors considered in generating the content migration confidence score?
- Frequently Updated Research:
Stay updated on advancements in machine learning models for content migration and user engagement analysis.
Original Abstract Submitted
Migrating digital content is provided. A content migration confidence score is generated, using a content migration machine learning model, for migrating digital content accessed by a user in a source data repository to a target data repository of a plurality of data repositories that contains a related topic to a topic corresponding to the digital content accessed by the user based on an analysis of information regarding user engagement activity with the digital content accessed by the user. Migration of the digital content accessed by the user in the source data repository to the target data repository containing the related topic to the topic corresponding to the digital content accessed by the user is executed, using the content migration machine learning model, in response to determining that the content migration confidence score is greater than a user-defined minimum content migration confidence score threshold level.
