Apple inc. (20240320258). Behavioral Curation of Media Assets simplified abstract

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Behavioral Curation of Media Assets

Organization Name

apple inc.

Inventor(s)

Sabrine Rekik of San Francisco CA (US)

Marcos Regis Vescovi of Capitola CA (US)

Eric Circlaeys of Los Gatos CA (US)

Behavioral Curation of Media Assets - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240320258 titled 'Behavioral Curation of Media Assets

Simplified Explanation

In some cases, a computing device can create a semantic mapping based on features found in a subset of assets in a media library. This mapping is used to analyze assets and generate semantic scores to identify top-rated assets for display in a user interface.

Key Features and Innovation

  • Creation of a semantic mapping based on identified features in a subset of assets
  • Analysis of assets using the semantic mapping to generate semantic scores
  • Identification of top-rated assets for display in a user interface

Potential Applications

This technology can be applied in:

  • Media libraries
  • Content management systems
  • Digital asset management platforms

Problems Solved

  • Efficiently identifying top-rated assets in a media library
  • Enhancing user experience by prominently displaying high-rated assets

Benefits

  • Improved organization and visibility of assets
  • Enhanced user engagement with high-quality content

Commercial Applications

  • Optimizing content curation in media libraries
  • Enhancing user experience in digital platforms
  • Improving content discovery and recommendation systems

Prior Art

For prior art related to this technology, researchers can explore semantic mapping techniques in digital asset management systems and content recommendation algorithms.

Frequently Updated Research

Researchers are continuously exploring ways to enhance semantic mapping algorithms for better asset analysis and recommendation systems.

Questions about Semantic Mapping

How does semantic mapping improve asset analysis in media libraries?

Semantic mapping enhances asset analysis by identifying key features and generating semantic scores to prioritize high-quality assets.

What are the potential implications of semantic mapping in content recommendation systems?

Semantic mapping can significantly improve the accuracy and relevance of content recommendations by prioritizing assets with high semantic scores.


Original Abstract Submitted

in some implementations, a computing device may create a semantic mapping that includes identified features that appear in a particular percentage of assets in a subset of assets of a media library. also, the computing device may analyze assets of the media library using the semantic mapping to generate semantic scores, which may be used to determine a first tier of assets from the media library that rate highest for semantic score out of all assets. the computing device may present at least one of the first tier assets prominently in a user interface when viewing assets of the media library.

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