Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G10L 17/00 G10L 15/00 H04M 1/64
US Classification:
704246, 704273, 7042701, 379 8802
Abstract:
One-to-many comparisons of callers'voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.
System And Method For Global Automated Address Verification
Catherine B. Black - Scottsdale AZ, US Diane Farrell - Phoenix AZ, US Chin H. Khor - Glendale AZ, US Vernon Marshall - Montclair NJ, US Sandeep Sacheti - Jersey City NJ, US Tracy J. Steiner - Phoenix AZ, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
The present invention provides systems and methods for global address verification of a transaction, such as a transaction card purchase. In accordance with an exemplary embodiment of the present invention, the system verifies a billing address and/or an alternate address (e. g. , shipping address) in a single transaction. The billing address and/or the alternate address are associated with a transaction card purchaser. If the billing and/or alternate addresses are verified, then the transaction card issuer may offer a payment guarantee to the merchant. The merchant may choose to ship the purchased item to either a billing address or an alternate address. If the address is not verified, then the transaction card issuer may choose not to offer a payment guarantee to the merchant, and the merchant may choose not to ship the item to the alternate address.
Speaker Recognition In A Multi-Speaker Environment And Comparison Of Several Voice Prints To Many
Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G10L 17/00
US Classification:
704246, 704247, 704249, 704250
Abstract:
One-to-many comparisons of callers' voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.
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.
Method And Apparatus For Collaborative Filtering Of Card Member Transactions
Paul A. Herman - Cave Creek AZ, US Greg M. Keeley - New York NY, US Vernon Marshall - Montclair NJ, US Paula S. Schwalje - Chandler AZ, US Brian J. Yasz - Cave Creek AZ, 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 system allows a credit or charge card issuer to provide its card members with a list of merchants, products, services, vacation destinations or other offerings that might be of interest based on the purchases of similar card members. In one instance, this process looks at all card members that made purchases at a merchant and then it identifies all other merchants in the same category where those card members also made purchases. The associated merchants are ranked based on largest number of shared card members and the top results may be shared with card members or merchants in order to enhance promotions, card use and marketing.
Word Recognition System And Method For Customer And Employee Assessment
Chin H. Khor - Glendale AZ, US Marcel Leyva - Chandler AZ, US Vernon Marshall - Montclair NJ, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
H04M 1/64
US Classification:
379 8802, 379 9201, 379 9334, 704246, 705 26
Abstract:
One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.
Speaker Recognition In A Multi-Speaker Environment And Comparison Of Several Voice Prints To Many
Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G10L 17/00
US Classification:
704246, 704247, 704249, 704250
Abstract:
One-to-many comparisons of callers' voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.
Method And Apparatus For Collaborative Filtering Of Card Member Transactions
Paul A. Herman - Cave Creek AZ, US Greg M. Keeley - New York NY, US Vernon Marshall - Montclair NJ, US Paula S. Schwalje - Chandler AZ, US Brian J. Yasz - Cave Creek AZ, 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 system allows a credit or charge card issuer to provide its card members with a list of merchants, products, services, vacation destinations or other offerings that might be of interest based on the purchases of similar card members. In one instance, this process looks at all card members that made purchases at a merchant and then it identifies all other merchants in the same category where those card members also made purchases. The associated merchants are ranked based on largest number of shared card members and the top results may be shared with card members or merchants in order to enhance promotions, card use and marketing.
Susan Willey, Sharion Ebel, Anita Williams, Carol King, Rebecca Epps, Janie White, Joyce Prebble, Vera Welch, Janie Bivens, Mary Brainard, Chris Leonard
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...