17531346. NON-TEXTUAL HASHTAG CREATION FOR NON-TEXTUAL CONTENT simplified abstract (International Business Machines Corporation)

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NON-TEXTUAL HASHTAG CREATION FOR NON-TEXTUAL CONTENT

Organization Name

International Business Machines Corporation

Inventor(s)

Shikhar Kwatra of San Jose CA (US)

Jeremy R. Fox of Georgetown TX (US)

Vijay Ekambaram of Chennai (IN)

Sarbajit K. Rakshit of Kolkata (IN)

John D. Wilson of League City TX (US)

Venkata Vara Prasad Karri of Visakhapatnam (IN)

NON-TEXTUAL HASHTAG CREATION FOR NON-TEXTUAL CONTENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 17531346 titled 'NON-TEXTUAL HASHTAG CREATION FOR NON-TEXTUAL CONTENT

Simplified Explanation

The abstract describes a computer-implemented process in a tagging system that analyzes non-textual content and assigns hashtags to it.

  • The process starts by receiving an identification of non-textual content from a user's device.
  • A contextual analysis is performed on the non-textual content using an object identification engine to identify its attributes.
  • The non-textual hashtag is stored along with the non-textual content and its attributes.
  • A search is then conducted for additional non-textual content related to the original content based on the selected hashtag.

Potential Applications

  • Content organization: This technology can be used to categorize and organize non-textual content, making it easier to search and retrieve.
  • Content recommendation: By analyzing the attributes and hashtags of non-textual content, the system can recommend similar content to users.
  • Social media tagging: The technology can be applied to social media platforms to automatically assign relevant hashtags to non-textual content.

Problems Solved

  • Manual tagging: The process eliminates the need for users to manually assign hashtags to non-textual content, saving time and effort.
  • Content discovery: By using hashtags and attributes, the system helps users discover related non-textual content that they may not have found otherwise.

Benefits

  • Efficient content organization: The system automates the tagging process, ensuring that non-textual content is properly categorized and easily searchable.
  • Enhanced user experience: Users can discover and explore more non-textual content that aligns with their interests and preferences.
  • Time-saving: The technology eliminates the need for manual tagging, allowing users to focus on other tasks.


Original Abstract Submitted

A computer-implemented process within a tagging system configured to be executed on a computer hardware system includes the following operations. An identification of non-textual content being accessed by the user is received from a client tagging module within a client device associated with a user. A contextual analysis of the non-textual content is performed, using an object identification engine of the tagging system, to identify attributes of the non-textual content. An identification of the non-textual hashtag is stored as a data structure in association with the non-textual content and at least one of the attributes and the non-textual content. A search is performed for additional non-textual content related to the non-textual content based upon a selection of the non-textual hashtag.

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