18536501. CROWDSOURCED ANNOTATION AND TAGGING SYSTEM FOR DIGITAL TRANSACTIONS simplified abstract (Capital One Services, LLC)

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CROWDSOURCED ANNOTATION AND TAGGING SYSTEM FOR DIGITAL TRANSACTIONS

Organization Name

Capital One Services, LLC

Inventor(s)

Bryant Yee of Washington DC (US)

Mykhaylo Bulgakov of Arlington VA (US)

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 18536501 titled 'CROWDSOURCED ANNOTATION AND TAGGING SYSTEM FOR DIGITAL TRANSACTIONS

Simplified Explanation

The system described in the abstract is a crowdsourcing platform for annotating transactions with information provided by a community of users. The platform includes a database for storing crowdsourced annotations associated with merchants, and a processor that retrieves relevant annotations for a transaction and sends them to the user for annotation. The user then provides an annotation for the transaction, which is used to update the database.

  • Crowdsourcing platform for transaction annotations
  • Database stores crowdsourced annotations for merchants
  • Processor retrieves relevant annotations for transactions
  • Users contribute and share annotations within a community
  • Users annotate transactions based on crowdsourced information

Potential Applications

The technology could be applied in various industries such as finance, e-commerce, and retail to provide users with additional information about transactions and merchants.

Problems Solved

This technology helps users make more informed decisions about their transactions by providing crowdsourced annotations and information about merchants.

Benefits

Users can benefit from a more transparent and collaborative approach to transaction annotations, leading to increased trust and confidence in their financial interactions.

Potential Commercial Applications

This technology could be utilized by financial institutions, online marketplaces, and retail stores to enhance the user experience and build customer loyalty through transparent transaction annotations.

Possible Prior Art

One possible prior art for this technology could be existing crowdsourcing platforms for reviews and ratings, which have similarities in terms of user-generated content and community contributions.

Unanswered Questions

How does the system ensure the accuracy and reliability of crowdsourced annotations?

The article does not provide details on the mechanisms in place to verify the accuracy and reliability of the annotations provided by users.

What measures are taken to protect user privacy and data security within the crowdsourcing platform?

The article does not address the specific privacy and security protocols implemented to safeguard user information within the platform.


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.