Benjamin L Shepherd

US Patent:

20190303940, Oct 3, 2019

Filed:

Mar 27, 2018

Appl. No.:

15/937377

Inventors:

- San Francisco CA, US
Lynn Mingone - San Francisco CA, US
Benjamin Shepherd - San Francisco CA, US
Holland Stimac - San Francisco CA, US
Benjamin Taylor - Williston VT, US
Leonard J. Valentino - Stamford CT, US

International Classification:

G06Q 20/40

Abstract:

A method comprises receiving, by a provider computing system from a customer computing system, a transaction request for processing a transaction. The transaction includes a transaction information. The provider computing system determines that the transaction information is complete transaction information. The provider computing system determines a transaction history associated with a party to the transaction request. A portion of the transaction history is not accessible by the customer computing system. The provider computing system determines a possible instance of fraud based on the transaction history and the complete transaction information. The provider computing system generates a UAR. Furthermore, the provider computing system populates a blank field of the UAR, based on the analysis of the transaction history with the complete transaction information. The provider computing system transmits to the customer computing system, a fraud alert which is displayed on a personnel device of a customer personnel associated with the customer.

US Patent:

20190019238, Jan 17, 2019

Filed:

Sep 17, 2018

Appl. No.:

16/132880

Inventors:

- Seattle WA, US
Patrick C. TEO - San Carlos CA, US
Benjamin L. SHEPHERD - Issaquah WA, US
Korwin J. SMITH - Seattle WA, US
Scott DURHAM - Seattle WA, US
Piragash VELUMMYLUM - Seattle WA, US
Emily J. BUTLER - San Francisco CA, US

International Classification:

G06Q 30/06

Abstract:

Disclosed are various embodiments relating to generating media item recommendations based upon determining a beats per minute value. A media recommendation application determines a beats per minute value based upon a pacing measurement of the user. The media recommendation application then identifies one or more media item having a beats per minute that is similar to the beats per minute value. The media recommendation application then identifies a subset of the media item candidates to surface as recommendations for the user.