Puneet B. Bhagchandani - New York NY, US Rachel B. Garrett - New York NY, US Vernon Marshall - New York NY, US Ali H. Baqri - New York NY, US Siddhesh Karmali - New York NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 30/00
US Classification:
705 1452, 705 1453, 705 1449
Abstract:
The disclosed method and system allows a credit or charge card issuer to provide its card members with a list of restaurants that might be of interest based on the financial transactions of similar card members. In one instance, this method filters financial transaction data from a plurality of card members that involves a plurality of restaurants to generate a set of candidate restaurant recommendations for a selected card member. This set of candidate restaurant recommendations is processed to yield a list of restaurant recommendations for the selected customer that is prioritized on the basis of the selected card member accepting the recommendation. The list of restaurant recommendations is then reported to the selected card member to enhance card use and marketing.
System And Method For Predicting Card Member Spending Using Collaborative Filtering
Puneet B. Bhagchandani - New York NY, US Rachel B. Garrett - New York NY, US Vernon Marshall - New York NY, US Ali H. Baqri - New York NY, US Siddhesh Karmali - New York NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 30/00
US Classification:
705 1452, 705 1453, 705 1449
Abstract:
The disclosed method and system allows a credit or charge card issuer to provide its card members with a list of restaurants that might be of interest based on the financial transactions of similar card members. In one instance, this method filters financial transaction data from a plurality of card members that involves a plurality of restaurants to generate a set of candidate restaurant recommendations for a selected card member. This set of candidate restaurant recommendations is processed to yield a list of restaurant recommendations for the selected customer that is prioritized on the basis of the selected card member accepting the recommendation. The list of restaurant recommendations is then reported to the selected card member to enhance card use and marketing.
Forgetmenot, Radio-Frequency Identification (Rfid) System With Verifying Interconnected Units
A method of using a plurality of units that can be attached to designated article that should remain in close proximity of one another. And if any of the units were to be separated, an alert would be given with indications of which unit(s) is not present.
System And Method For Predicting Card Member Spending Using Collaborative Filtering
Puneet B. Bhagchandani - New York NY, US Rachel B. Garrett - New York NY, US Vernon Marshall - New York NY, US Ali H. Baqri - New York NY, US Siddhesh Karmali - New York NY, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 30/02
US Classification:
705 1452
Abstract:
The disclosed method and system allows a credit or charge card issuer to provide its card members with a list of restaurants that might be of interest based on the financial transactions of similar card members. In one instance, this method filters financial transaction data from a plurality of card members that involves a plurality of restaurants to generate a set of candidate restaurant recommendations for a selected card member. This set of candidate restaurant recommendations is processed to yield a list of restaurant recommendations for the selected customer that is prioritized on the basis of the selected card member accepting the recommendation. The list of restaurant recommendations is then reported to the selected card member to enhance card use and marketing.
Aruj Ahluwalia - Jersey City NJ, US Vernon Marshall - Montclair NJ, US Satish Thenthiruperai Narayanan - Phoenix AZ, US Andrew Roth - Scarsdale NY, US Xiongwen Rui - Scottsdale AZ, US Thomas K. Serge - Glendale AZ, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 20/32 G06Q 20/20 G06Q 20/40
US Classification:
705 16
Abstract:
A system and method for remediation, curing concerns, and transferring information associated with declined transactions is disclosed. The present disclosure generally relates to electronic commerce, and more particularly, to a system and method of validation and efficiency associated with electronic commerce.
Aruj Ahluwalia - Jersey City NJ, US Vernon Marshall - Montclair NJ, US Satish Thenthiruperai Narayanan - Phoenix AZ, US Andrew Roth - Scarsdale NY, US Xiongwen Rui - Scottsdale AZ, US Thomas K. Serge - Glendale AZ, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G06Q 20/20
US Classification:
705 18, 705 16
Abstract:
A system and method for remediation, curing concerns, and transferring information associated with declined transactions is disclosed. The present disclosure generally relates to electronic commerce, and more particularly, to a system and method of validation and efficiency associated with electronic commerce.
System And Method For Predicting Card Member Spending Using Collaborative Filtering
- Wilmington DE, US Rachel B. Garrett - New York NY, US Vernon Marshall - New York NY, US Ali H. Baqri - New York NY, US Siddhesh Karmali - New York NY, US
International Classification:
G06Q 30/02
Abstract:
The disclosed method and system allows a credit or charge card issuer to provide its card members with a list of restaurants that might be of interest based on the financial transactions of similar card members. In one instance, this method filters financial transaction data from a plurality of card members that involves a plurality of restaurants to generate a set of candidate restaurant recommendations for a selected card member. This set of candidate restaurant recommendations is processed to yield a list of restaurant recommendations for the selected customer that is prioritized on the basis of the selected card member accepting the recommendation. The list of restaurant recommendations is then reported to the selected card member to enhance card use and marketing.
The Unitarian Church I have been a Unitarian Minister for many years, serving churches in Scarborough & Whitby, Birmingham, Croydon, Dukinfield & Denton (Gtr Manchester), and since... I have been a Unitarian Minister for many years, serving churches in Scarborough & Whitby, Birmingham, Croydon, Dukinfield & Denton (Gtr Manchester), and since 2008, in Wilmslow and Hale Barns in Cheshire. Before becoming a Minister I worked in various jobs, including RE Teaching and Residential...
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