17939625. GENERATION OF TRANSACTION TAGS FOR ENHANCED SEARCHING simplified abstract (Apple Inc.)

GENERATION OF TRANSACTION TAGS FOR ENHANCED SEARCHING

Organization Name

Apple Inc.

Inventor(s)

Michael A. Minar of Palo Alto CA (US)

Yiran Kang of Santa Clara CA (US)

Fadi S. Obeid of Santa Clara CA (US)

Rachel Reddy of Long Island City NY (US)

Rima Kakarla of Cupertino CA (US)

Anuj Chaudhary of Fremont CA (US)

Anish Doshi of South Barrington IL (US)

Julien Barlerin of San Francisco CA (US)

Michael Artemiw of San Jose CA (US)

Richard W. Heard of San Francisco CA (US)

Ashish C. Nagre of Sunnyvale CA (US)

GENERATION OF TRANSACTION TAGS FOR ENHANCED SEARCHING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17939625 titled 'GENERATION OF TRANSACTION TAGS FOR ENHANCED SEARCHING

Simplified Explanation

Tags can be generated for transaction records to represent additional characteristics of the records. These tags can then be added to the transaction records. When users request transaction information, a set of transactions can be identified based on these tags, and the relevant information can be provided to a user interface.

• Tags can be generated for transaction records to represent additional characteristics.
• These tags can be added to the transaction records.
• Users can request transaction information.
• A set of transactions can be identified based on the tags.
• The relevant information can be provided to a user interface.

Potential Applications

• Financial institutions can use this technology to categorize and organize transaction records more efficiently.
• E-commerce platforms can utilize this technology to provide personalized transaction information to users.
• Accounting software can benefit from this technology to streamline the process of analyzing and reporting transaction data.

Problems Solved

• Traditional transaction records may not capture all the relevant characteristics of a transaction.
• It can be time-consuming and challenging to manually categorize and organize transaction records.
• Users may struggle to find specific transactions or obtain relevant information from a large dataset.

Benefits

• Improved organization and categorization of transaction records.
• Enhanced ability to search and retrieve specific transactions.
• More efficient analysis and reporting of transaction data.
• Personalized transaction information for users.

Original Abstract Submitted

Tags for transaction records can be generated to represent characteristics of the transaction records not represented by typical characteristics of the records. Once generated, the transaction records can be modified to include the tags. Responsive to requests for transaction information, a set of transactions can be identified based on tags of the transactions and information about the transactions can be provided to a user interface.