View source for Capital one services, llc (20240112194). CROWDSOURCED ANNOTATION AND TAGGING SYSTEM FOR DIGITAL TRANSACTIONS simplified abstract

=CROWDSOURCED ANNOTATION AND TAGGING SYSTEM FOR DIGITAL TRANSACTIONS=


==Organization Name==

[[:Category:capital one services, llc|capital one services, llc]]


[[Category:capital one services, llc]]

==Inventor(s)==

[[:Category:Bryant Yee of Washington DC (US)|Bryant Yee of Washington DC (US)]][[Category:Bryant Yee of Washington DC (US)]]

[[:Category:Mykhaylo Bulgakov of Arlington VA (US)|Mykhaylo Bulgakov of Arlington VA (US)]][[Category:Mykhaylo Bulgakov of Arlington VA (US)]]

[[:Category:George Leon Bergeron, Iv of Falls Church VA (US)|George Leon Bergeron, Iv of Falls Church VA (US)]][[Category:George Leon Bergeron, Iv of Falls Church VA (US)]]

==CROWDSOURCED ANNOTATION AND TAGGING SYSTEM FOR DIGITAL TRANSACTIONS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240112194 titled 'CROWDSOURCED ANNOTATION AND TAGGING SYSTEM FOR DIGITAL TRANSACTIONS

==Simplified Explanation==

The patent application describes a system for crowdsourcing annotations for transactions, where users can provide annotations for transactions with merchants that are stored in a crowdsourcing annotation database.

* The system includes a crowdsourcing annotation database and a processor.
* Crowdsourced annotations are associated with merchants and shared among users of a community.
* The processor receives transaction data for a user with a merchant and retrieves relevant crowdsourced annotations from the database.
* The annotations are sent to the user to annotate the transaction, and the user provides an annotation that is then updated in the database.

== Potential Applications ==
This technology could be applied in various industries such as e-commerce, finance, and retail to enhance user experience and provide valuable insights into transactions.

== Problems Solved ==
This system solves the problem of limited information available for transactions by allowing users to provide annotations and share their experiences with merchants, leading to a more informed decision-making process.

== Benefits ==
The benefits of this technology include improved transparency in transactions, increased user engagement, and the creation of a community-driven database of annotations for merchants.

== Potential Commercial Applications ==
One potential commercial application of this technology could be in the development of a transaction annotation platform for financial institutions to improve customer satisfaction and loyalty.

== Possible Prior Art ==
One possible prior art for this technology could be existing crowdsourcing platforms that collect user-generated content for various purposes, such as reviews and ratings for products and services.

=== What is the impact of this technology on user privacy and data security? ===

This article does not address the potential impact of this technology on user privacy and data security. 

=== How does this technology compare to existing transaction annotation systems? ===

This article does not provide a comparison of this technology to existing transaction annotation systems.


==Original Abstract Submitted==

a system for crowdsourcing annotations for transactions includes a crowdsourcing annotation database and a processor. the database stores crowdsourced annotations associated with merchants. the crowdsourced annotations are shared among, and contributed by, users of a community. the processor receives transaction data for a transaction by a user with a merchant. relevant crowdsourced annotations associated with the merchant are retrieved from the database and sent to the user to enable to the user to annotate the transaction. the user provides an annotation for the transaction. the system dynamically updates the database based on the annotation provided by the user.



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