International Business Machines Corporation (20240214620). METHOD FOR PERSONALIZED BROADCASTING simplified abstract

METHOD FOR PERSONALIZED BROADCASTING

Organization Name

International Business Machines Corporation

Inventor(s)

Clement Decrop of Arlington VA (US)

Olivia Monroe of Washington DC (US)

Daniel Austin Harting of Chesapeake Beach MD (US)

Benjamin Joseph Deleo of Arlington VA (US)

Justin Wu of Rockville MD (US)

METHOD FOR PERSONALIZED BROADCASTING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240214620 titled 'METHOD FOR PERSONALIZED BROADCASTING

The abstract describes a computer-implemented method for generating personalized multimedia content based on user preferences. This method involves analyzing multimedia data to create personalized audio output using a generative adversarial network.

• Determines multimedia preferences associated with a user
• Analyzes multimedia data to generate personalized audio output
• Modifies multimedia data to include personalized audio output using a generative adversarial network

Potential Applications: - Personalized music streaming services - Customized audio advertisements - Tailored audio content for educational purposes

Problems Solved: - Providing users with personalized multimedia experiences - Enhancing user engagement with multimedia content

Benefits: - Improved user satisfaction - Enhanced user experience - Increased user retention and engagement

Commercial Applications: Title: Personalized Multimedia Generation Technology for Enhanced User Experience This technology can be utilized in music streaming platforms, advertising agencies, and educational institutions to provide personalized audio content to users, leading to increased engagement and satisfaction.

Prior Art: Researchers can explore existing patents related to generative adversarial networks, personalized content generation, and multimedia data analysis to further understand the innovation presented in this patent application.

Frequently Updated Research: Researchers in the fields of artificial intelligence, multimedia processing, and user experience design may have ongoing studies related to personalized multimedia content generation and its impact on user engagement.

Questions about Personalized Multimedia Generation Technology: 1. How does the use of generative adversarial networks contribute to the personalization of multimedia content? - Generative adversarial networks enable the creation of unique audio outputs tailored to individual user preferences by analyzing and modifying multimedia data.

2. What are the potential challenges in implementing personalized multimedia generation technology on a large scale? - Challenges may include data privacy concerns, scalability issues, and the need for robust algorithms to handle diverse user preferences effectively.

Original Abstract Submitted

a computer-implemented method for generating personalized multimedia, is disclosed. the computer-implemented method includes determining one or more multimedia preferences associated with a user. the computer-implemented method further includes analyzing multimedia data to generate a personalized audio output based, at least in part, on the one or more multimedia preferences associated with the user. the computer-implemented method further includes modifying the multimedia data to include the generated personalized audio output using a generative adversarial network.