Chris M Lewis

US Patent:

20180322175, Nov 8, 2018

Filed:

Jun 29, 2018

Appl. No.:

16/023251

Inventors:

- Palo Alto CA, US
Eli Bingham - New York NY, US
John Garrod - San Mateo CA, US
Daniel Erenrich - Mountain View CA, US
Anirvan Mukherjee - New York NY, US
Ted Mabrey - New York NY, US
Andrew Ash - Menlo Park CA, US
Zachary Bush - Palo Alto CA, US
Allen Cai - Menlo Park CA, US
Winnie Chai - Los Altos CA, US
Greg Cohan - Newtown MA, US
Chris Dorsey - San Francisco CA, US
William Dwyer - Seattle WA, US
Gilad Gray - Redwood City CA, US
Sean Kelley - San Francisco CA, US
Dennis Kwon - Fort Lee NJ, US
Chris Lewis - East Palo Alto CA, US
Greg Martin - Royal Oak MI, US
Parvathy Menon - San Jose CA, US
Brian Ngo - San Francisco CA, US
Asli Ozyar - Palo Alto CA, US
Mike Reilly - New York NY, US
Jacob Scott - Berkeley CA, US
Ankit Shankar - Redwood City CA, US
Matt Sills - San Francisco CA, US
Spencer Stamats - Palo Alto CA, US
Geoff Stowe - San Francisco CA, US
Samir Talwar - London, GB
Engin Ural - Brooklyn NY, US
Patricio Jose Velez - Palo Alto CA, US
Holt Wilkins - New York NY, US
Diane Wu - Palo Alto CA, US
Drausin Wulsin - New York NY, US
Di Wu - Palo Alto CA, US
Yu-hsin Joyce Chen - Palo Alto CA, US
Baris Kaya - Istanbul, TR

International Classification:

G06F 17/30
G06Q 10/06

Abstract:

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

US Patent:

20150169709, Jun 18, 2015

Filed:

Jun 16, 2014

Appl. No.:

14/306147

Inventors:

- Palo Alto CA, US
Eli BINGHAM - New York NY, US
John GARROD - Palo Alto CA, US
Daniel ERENRICH - Mountain View CA, US
Anirvan MUKHERJEE - Mountain View CA, US
Ted MABREY - New York, CA
Andrew ASH - Menlo Park CA, US
Zachary BUSH - Palo Alto CA, US
Allen CAI - Menlo Park CA, US
Winnie CHAI - Los Altos CA, US
Greg COHAN - Newton MA, US
Chris DORSEY - San Francisco CA, US
William DWYER - Palo Alto CA, US
Gilad GRAY - Redwood City CA, US
Sean KELLEY - San Francisco CA, US
Dennis KWON - Fort Lee NJ, US
Chris LEWIS - East Palo Alto CA, US
Greg MARTIN - Royal Oak MI, US
Parvathy MENON - San Francisco CA, US
Brian NGO - San Francisco CA, US
Asli OZYAR - Palo Alto CA, US
Mike REILLY - New York NY, US
Jacob SCOTT - Berkeley CA, US
Ankit SHANKAR - Millbrae CA, US
Matt SILLS - San Francisco CA, US
Spencer STAMATS - Palo Alto CA, US
Geoff STOWE - San Francisco CA, US
Samir TALWAR - London, GB
Engin URAL - Brooklyn NY, US
PJ VALEZ - Palo Alto CA, US
Holt WILKINS - New York NY, US
Diane WU - Palo Alto CA, US
Drausin WULSIN - New York NY, US
Di WU - Palo Alto CA, US
Joyce Yu-Hsin CHEN - Palo Alto CA, US
Bar KAYA - Istanbul, TR

International Classification:

G06F 17/30

Abstract:

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

US Patent:

20150169726, Jun 18, 2015

Filed:

Jun 16, 2014

Appl. No.:

14/306138

Inventors:

- Palo Alto CA, US
Eli BINGHAM - New York NY, US
John GARROD - Palo Alto CA, US
Daniel ERENRICH - Mountain View CA, US
Anirvan MUKHERJEE - Mountain View CA, US
Ted MABREY - New York NY, US
Andrew ASH - Menlo Park CA, US
Zachary BUSH - Palo Alto CA, US
Allen CAI - Menlo Park CA, US
Winnie CHAI - Los Altos CA, US
Greg COHAN - Newton MA, US
Chris DORSEY - San Francisco CA, US
William DWYER - Palo Alto CA, US
Gilad GRAY - Redwood City CA, US
Sean KELLEY - San Francisco CA, US
Dennis KWON - Fort Lee NJ, US
Chris LEWIS - East Palo Alto CA, US
Greg MARTIN - Royal Oak MI, US
Parvathy MENON - San Francisco CA, US
Brian NGO - San Francisco CA, US
Asli OZYAR - Palo Alto CA, US
Mike REILLY - New York NY, US
Jacob SCOTT - Berkeley CA, US
Ankit SHANKAR - Millbrae CA, US
Matt SILLS - San Francisco CA, US
Spencer STAMATS - Palo Alto CA, US
Geoff STOWE - San Francisco CA, US
Samir TALWAR - London, GB
Engin URAL - Brooklyn NY, US
PJ VALEZ - Palo Alto CA, US
Holt WILKINS - New York NY, US
Diane WU - Palo Alto CA, US
Drausin WULSIN - New York NY, US
Di WU - Palo Alto CA, US
Joyce Yu-Hsin CHEN - Palo Alto CA, US
Bar KAYA - Istanbul, TR

International Classification:

G06F 17/30

Abstract:

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.

US Patent:

20150170077, Jun 18, 2015

Filed:

Jun 16, 2014

Appl. No.:

14/306154

Inventors:

- Palo Alto CA, US
Eli BINGHAM - New York NY, US
John GARROD - Palo Alto CA, US
Daniel ERENRICH - Mountain View CA, US
Anirvan MUKHERJEE - Mountain View CA, US
Ted MABREY - New York NY, US
Andrew ASH - Menlo Park CA, US
Zachary BUSH - Palo Alto CA, US
Allen CAI - Menlo Park CA, US
Winnie CHAI - Los Altos CA, US
Greg COHAN - Newton MA, US
Chris DORSEY - San Francisco CA, US
William DWYER - Palo Alto CA, US
Gilad GRAY - Redwood City CA, US
Sean KELLEY - San Francisco CA, US
Dennis KWON - Fort Lee NJ, US
Chris LEWIS - East Palo Alto CA, US
Greg MARTIN - Royal Oak MI, US
Parvathy MENON - San Francisco CA, US
Brian NGO - San Francisco CA, US
Asli OZYAR - Palo Alto CA, US
Mike REILLY - New York NY, US
Jacob SCOTT - Berkeley CA, US
Ankit SHANKAR - Millbrae CA, US
Matt SILLS - San Francisco CA, US
Spencer STAMATS - Palo Alto CA, US
Geoff STOWE - San Francisco CA, US
Samir TALWAR - London, GB
Engin URAL - Brooklyn NY, US
PJ VALEZ - Palo Alto CA, US
Holt WILKINS - New York NY, US
Diane WU - Palo Alto CA, US
Drausin WULSIN - New York NY, US
Di WU - Palo Alto CA, US
Joyce Yu-Hsin CHEN - Palo Alto CA, US
Bar KAYA - Istanbul, TR

International Classification:

G06Q 10/06

Abstract:

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes accessing a data structure comprising a plurality of interactions associated with multiple entities. The method also includes evaluating one or more interactions of the plurality of interactions associated with a consuming entity of the multiple entities. The method further includes determining whether the one or more interactions associated with the consuming entity comprise an identified location information of the consuming entity.