17LIVE Japan Inc. (20240323465). SYSTEM, METHOD AND COMPUTER-READABLE MEDIUM FOR CATEGORIZING LIVE STREAMING DATA simplified abstract

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SYSTEM, METHOD AND COMPUTER-READABLE MEDIUM FOR CATEGORIZING LIVE STREAMING DATA

Organization Name

17LIVE Japan Inc.

Inventor(s)

Hemanth Kumar Ajaru of Tokyo (JP)

Kshitiz Yadav of Tokyo (JP)

Durgesh Kumar of Tokyo (JP)

Hardik Taneja of Tokyo (JP)

Shih Bo Lin of Tokyo (JP)

SYSTEM, METHOD AND COMPUTER-READABLE MEDIUM FOR CATEGORIZING LIVE STREAMING DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240323465 titled 'SYSTEM, METHOD AND COMPUTER-READABLE MEDIUM FOR CATEGORIZING LIVE STREAMING DATA

The present disclosure involves a system, a method, and a computer-readable medium for tagging live streaming data. The method includes generating intermediate tags for the live streaming program and determining a final tag based on these intermediate tags. This system allows for more precise categorization of content.

  • Granular tagging system for live streaming data
  • Method involves generating intermediate tags for the live streaming program
  • Final tag is determined based on these intermediate tags
  • Enables more precise categorization of content
  • Enhances content organization and searchability

Potential Applications: - Media streaming platforms - Content recommendation systems - Data analytics for live streaming - Targeted advertising based on content tags

Problems Solved: - Difficulty in categorizing live streaming content accurately - Inefficient content organization on streaming platforms - Limited searchability of live streaming data

Benefits: - Improved content categorization - Enhanced user experience on streaming platforms - More targeted advertising opportunities - Better data analytics for content creators

Commercial Applications: "Live Streaming Data Tagging System: Enhancing Content Categorization and User Experience"

Prior Art: Researchers can explore prior art related to content tagging systems, live streaming data organization, and data analytics in the context of media streaming platforms.

Frequently Updated Research: Researchers can stay updated on advancements in content tagging algorithms, live streaming data analysis, and user engagement strategies in the live streaming industry.

Questions about Live Streaming Data Tagging System:

1. How does the system determine the final tag for live streaming data? The system determines the final tag based on the first and second intermediate tags generated for the live streaming program.

2. What are the potential implications of this system for content creators and streaming platforms? This system can lead to more targeted content recommendations, improved user engagement, and better monetization opportunities for content creators and streaming platforms.


Original Abstract Submitted

the present disclosure relates to a system, a method and a computer-readable medium for tagging live streaming data. the method includes generating a first intermediate tag for the live streaming program, generating a second intermediate tag for the live streaming program, and determining a final tag for the live streaming program according to the first intermediate tag and the second intermediate tag. the present disclosure can categorize contents in a more granular and precise way.