Song Lin

US Patent:

20110066496, Mar 17, 2011

Filed:

Sep 11, 2009

Appl. No.:

12/558175

Inventors:

Zengyan Zhang - San Jose CA, US
Jason Zien - Mountain View CA, US
Sanjav Kshetramade - Fremont CA, US
Ying Cui - Sunnyvale CA, US
Song Lin - Sunnyvale CA, US

International Classification:

G06Q 10/00
G06F 17/30
G06F 7/10
G06F 15/18

US Classification:

705 1453, 706 12, 707E17109, 705 1471

Abstract:

A method, system and computer readable medium selects additional message content to display to a user when the user request base content. In order to optimize the intermediate selection pool of message candidates (from which a final selection is chosen), for each candidate message, a historical aggregate of CTR data is combined with an offline estimate, also obtained from historical data, of RElative Probability of Action (REPA, which combines computed relevancy scores and ranking information) and with bid amount to obtain an estimate for revenue generation. This estimate is combined with dynamic matching between the message and the page/user pair to obtain a final score for each message that is used to create the intermediate selection pool of message for the page displayed. Final message selection uses a feedback loop, using specific CRT in conjunction with the specific page displayed, for the messages in the intermediately selected pool.

US Patent:

20130301919, Nov 14, 2013

Filed:

May 11, 2012

Appl. No.:

13/470056

Inventors:

Song Lin - Milpitas CA, US

International Classification:

G06K 9/18

US Classification:

382182

Abstract:

A method for serving content based on a selection feature for a campaign includes receiving an image associated with particular content and analyzing the image content of the image to derive a selection feature from the image. The selection feature is descriptive of image content. The method further includes identifying at least one keyword based on the selection feature. The method further includes associating the at least one keyword with the particular content and storing the particular content and its associated at least one keyword for serving in response to a content request.

US Patent:

20100082608, Apr 1, 2010

Filed:

Sep 30, 2008

Appl. No.:

12/242273

Inventors:

Mauricio Mediano - Cupertino CA, US
Jason Zien - Mountain View CA, US
Zengyan Zhang - San Jose CA, US
Jinhui Liu - Sunnyvale CA, US
Song Lin - Sunnyvale CA, US

Assignee:

YAHOO! INC. - Sunnyvale CA

International Classification:

G06F 7/06
G06F 17/30

US Classification:

707723, 707E17109

Abstract:

Embodiments of methods, apparatuses, devices and systems associated with determining search results are disclosed.

US Patent:

20170091692, Mar 30, 2017

Filed:

Oct 30, 2015

Appl. No.:

14/929128

Inventors:

- Mountain View CA, US
Ke Wang - Cupertino CA, US
Alex Ching Lai - Menlo Park CA, US
Aarti Kumar - San Carlos CA, US
Keith Wai Kit Tsang - Fremont CA, US
Rekha Thakur - Santa Clara CA, US
Song Lin - Santa Clara CA, US
Christopher Matthew Degiere - Palo Alto CA, US

International Classification:

G06Q 10/06
G06Q 50/00
H04L 29/08

Abstract:

In an example embodiment, a member profile corresponding to a member of a social networking service is obtained. Usage information for the member is then obtained, and one or more member metrics are calculated based on the member profile and usage information for the corresponding member. A plurality of features are extracted from the member profile and the one or more member metrics. The plurality of features is inserted into an organization name confidence score model to obtain a confidence score for an organization name in the member profile.

US Patent:

20170061343, Mar 2, 2017

Filed:

Aug 31, 2015

Appl. No.:

14/841531

Inventors:

- Mountain View CA, US
Juan Wang - Los Altos CA, US
Song Lin - Santa Clara CA, US
Xing Zhou - Mountain View CA, US
Qiang Zhu - Sunnyvale CA, US
SangHyun Park - Fremont CA, US
Yurong Shi - San Jose CA, US
Luke Thomas Whelan - Dublin, IE

Assignee:

LinkedIn Corporation - Mountain View CA

International Classification:

G06Q 10/06
G06Q 30/02

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system inputs a set of features for a customer of a product into a first statistical model, wherein the set of features comprises a company segment of the customer. Next, the system uses the first statistical model to predict a churn risk of the customer. When the churn risk exceeds a first threshold for the company segment, the system outputs a notification of a high churn risk level for the customer.

US Patent:

20170061344, Mar 2, 2017

Filed:

Aug 31, 2015

Appl. No.:

14/841547

Inventors:

- Mountain View CA, US
Juan Wang - Los Altos CA, US
Song Lin - Santa Clara CA, US
Xing Zhou - Mountain View CA, US
Qiang Zhu - Sunnyvale CA, US
SangHyun Park - Fremont CA, US
Yurong Shi - San Jose CA, US
Luke Thomas Whelan - Dublin, IE

Assignee:

LinkedIn Corporation - Mountain View CA

International Classification:

G06Q 10/06
G06F 3/0481
G06F 3/0484
G06T 11/20

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of data for a set of customers of a product, wherein the set of data comprises a set of churn risk levels for the customer. Next, the system uses the set of data to display a graphical user interface (GUI) comprising a chart of renewal opportunities with the set of customers, for the product, over an upcoming time interval. The system then displays, in the GUI, a representation of a churn risk level for each customer in the set of customers with a renewal opportunity in the chart.