Joanna Kue Yee

US Patent:

20110282651, Nov 17, 2011

Filed:

May 11, 2010

Appl. No.:

12/777323

Inventors:

VALERIE ROSE NYGAARD - SAN FRANCISCO CA, US
RICCARDO TURCHETTO - SAN FRANCISCO CA, US
JOANNA MUN YEE CHAN - REDWOOD CITY CA, US
CHRISTIAN BIEMANN - SAN FRANCISCO CA, US
DAVID DONGJAH AHN - SAN FRANCISCO CA, US
ANDREA RYERSON BURBANK - SAN FRANCISCO CA, US
FENG PAN - FOSTER CITY CA, US
TIMOTHY MCDONNELL CONVERSE - SAN FRANCISCO CA, US
JAMES MICHAEL REINHOLD - BERKELEY CA, US
TRACY HOLLOWAY KING - MOUNTAIN VIEW CA, US

Assignee:

MICROSOFT CORPORATION - REDMOND WA

International Classification:

G06F 17/27

US Classification:

704 9

Abstract:

Systems, methods, and computer storage media having computer-executable instructions embodied thereon that facilitate generation of snippets. In embodiments, text features within a keyword-sentence window are identified. The text features are utilized to determine break features that indicate favorability of breaking at a particular location of the keyword-sentence window. The break features are used to recognize features of partial snippets such that a snippet score to indicate the strength of the partial snippet can be calculated. Snippet scores associated with partial snippets are compared to select an optimal snippet, that is, the snippet having the highest snippet score.

US Patent:

20200126175, Apr 23, 2020

Filed:

Oct 18, 2018

Appl. No.:

16/164769

Inventors:

- San Francisco CA, US
Joanna Mun Yee Chan - Redwood City CA, US
Bao Kham Chau - Oakland CA, US
Dennis Li - San Francisco CA, US
Alex Collier Mazure - San Francisco CA, US
Jonathan Patrick O'Keefe - Oakland CA, US
Ko-Ay Timmy Siauw - Seattle WA, US
Anthony Michael Padin - South San Francisco CA, US
Harel Sheniak - San Francisco CA, US
Samuel Soffes - San Francisco CA, US

International Classification:

G06Q 50/30
G06Q 10/10
G06Q 10/06

Abstract:

The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.