International business machines corporation (20240296148). Digital Content Migration simplified abstract
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 20240296148 titled 'Digital Content Migration
The abstract describes a method for migrating digital content from a source data repository to a target data repository based on user engagement activity and a content migration confidence score generated by a machine learning model.
- Content migration confidence score is generated using a machine learning model.
- Migration of digital content is executed based on the confidence score exceeding a user-defined threshold.
- Analysis of user engagement activity with the digital content determines the target data repository.
- The migration process ensures that the target repository contains a related topic to the accessed digital content.
- The method aims to improve the efficiency and accuracy of content migration processes.
Potential Applications: This technology can be applied in content management systems, data migration tools, and digital asset management platforms.
Problems Solved: Streamlines the process of migrating digital content between data repositories. Enhances user experience by ensuring content is moved to a relevant repository. Improves the accuracy of content migration decisions.
Benefits: Increased efficiency in content migration processes. Enhanced user satisfaction through targeted content placement. Optimized organization of digital assets in data repositories.
Commercial Applications: Title: Enhanced Content Migration Technology for Data Repositories This technology can be utilized by companies offering content management solutions, data migration services, and digital marketing platforms. It can improve the effectiveness of content organization and retrieval, leading to better user engagement and satisfaction.
Questions about Content Migration Technology: 1. How does the machine learning model determine the content migration confidence score? The machine learning model analyzes user engagement activity with the digital content to generate the confidence score.
2. What are the key factors considered when determining the target data repository for content migration? The target data repository is selected based on the related topic to the accessed digital content and user engagement activity 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.
