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

=NON-TEXTUAL HASHTAG CREATION FOR NON-TEXTUAL CONTENT=


==Organization Name==

[[:Category:International Business Machines Corporation|International Business Machines Corporation]]


[[Category:International Business Machines Corporation]]

==Inventor(s)==

[[:Category:Shikhar Kwatra of San Jose CA (US)|Shikhar Kwatra of San Jose CA (US)]][[Category:Shikhar Kwatra of San Jose CA (US)]]

[[:Category:Jeremy R. Fox of Georgetown TX (US)|Jeremy R. Fox of Georgetown TX (US)]][[Category:Jeremy R. Fox of Georgetown TX (US)]]

[[:Category:Vijay Ekambaram of Chennai (IN)|Vijay Ekambaram of Chennai (IN)]][[Category:Vijay Ekambaram of Chennai (IN)]]

[[:Category:Sarbajit K. Rakshit of Kolkata (IN)|Sarbajit K. Rakshit of Kolkata (IN)]][[Category:Sarbajit K. Rakshit of Kolkata (IN)]]

[[:Category:John D. Wilson of League City TX (US)|John D. Wilson of League City TX (US)]][[Category:John D. Wilson of League City TX (US)]]

[[:Category:Venkata Vara Prasad Karri of Visakhapatnam (IN)|Venkata Vara Prasad Karri of Visakhapatnam (IN)]][[Category: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.



[[Category:G06F16/2457]]