Shankar R Ponnekanti

US Patent:

8527526, Sep 3, 2013

Filed:

May 2, 2012

Appl. No.:

13/462130

Inventors:

Jia Liu - Sunnyvale CA, US
Yijian Bai - San Ramon CA, US
Deepak Ravichandran - Mountain View CA, US
Shankar Ponnekanti - Mountain View CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 7/00

US Classification:

707751

Abstract:

A computerized method, system for, and computer-readable medium operable to select a list of network user identifiers. A processing circuit receives a list of network user identifiers represented by long-term history data indicative of web pages visited prior to a first time and short-term history data indicative of web pages visited after the first time and prior to a second time. Long-term interest categories, corresponding weight values for each long-term interest category, short-term interest categories and corresponding weight values for each short-term interest category are identified. A model comprising the long-term and short-term interest categories is generated based on the weight values of the long-term and short-term interest categories using either arithmetic or harmonic progression. The processing circuit receives a list of candidate network user identifiers and generates a list of similar network user identifiers based on the model.

US Patent:

20130254329, Sep 26, 2013

Filed:

Nov 13, 2012

Appl. No.:

13/675102

Inventors:

Shankar R. Ponnekanti - Mountain View CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 15/16

US Classification:

709217

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.

US Patent:

20140068011, Mar 6, 2014

Filed:

Mar 14, 2013

Appl. No.:

13/831110

Inventors:

Shankar Ponnekanti - Mountain View CA, US
Oren Eli Zamir - Los Altos CA, US
Ting Liu - Sunnyvale CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

H04L 29/08

US Classification:

709219

Abstract:

Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

US Patent:

6865601, Mar 8, 2005

Filed:

Feb 11, 2000

Appl. No.:

09/502718

Inventors:

Ludmila Cherkasova - Sunnyvale CA, US
Shankar Ravindra Ponnekanti - Menlo Park CA, US

Assignee:

Hewlett-Packard Development Company L.P. - Houston TX

International Classification:

G06F015/16
G06F015/173

US Classification:

709220, 709202, 709203, 709219, 709223, 709224, 709238

Abstract:

A method for operating a server cluster that includes N server nodes that service client requests. Each client request is directed to one of a plurality of sites hosted on the server cluster. Each site is identified by a domain name, and each server node is identified by an address on a network connecting the clients to the server nodes. The computational resources required to service the requests to each of the sites over a first time period are measured and used to group the sites into N groups. Each group is assigned to a corresponding one of the server nodes. The groups are chosen such that, for each pair of groups, the difference in the sum of the measured computational resources is within a first predetermined error value. Configuration information defining a correspondence between each of the sites and one or more of the server nodes assigned to the groups containing that site is then provided to a router accessible from the network. The groupings are periodically updated by measuring the computational resources required to service the requests to each of the sites over a second time period; and grouping the sites into N new groups.

US Patent:

20210090129, Mar 25, 2021

Filed:

Dec 3, 2020

Appl. No.:

17/111127

Inventors:

- Mountain View CA, US
Shankar R. Ponnekanti - Sunnyvale CA, US

International Classification:

G06Q 30/02
H04L 29/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.

US Patent:

20200364751, Nov 19, 2020

Filed:

Aug 3, 2020

Appl. No.:

16/983637

Inventors:

- Mountain View CA, US
Shankar R. Ponnekanti - Sunnyvale CA, US

International Classification:

G06Q 30/02
H04L 29/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.

US Patent:

20180075491, Mar 15, 2018

Filed:

Nov 17, 2017

Appl. No.:

15/816680

Inventors:

- Mountain View CA, US
Shankar R. Ponnekanti - Mountain View CA, US

International Classification:

G06Q 30/02
H04L 29/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.

US Patent:

20170251070, Aug 31, 2017

Filed:

Mar 15, 2013

Appl. No.:

13/843944

Inventors:

GOOGLE INC. - Mountain View CA, US
Shankar R. Ponnekanti - Mountain View CA, US

Assignee:

GOOGLE INC. - Mountain View CA

International Classification:

G06Q 30/02

Abstract:

Systems, methods performed by data processing apparatus and computer storage media encoded with computer programs for maintaining, for a user, multiple user interest profiles, each user interest profile corresponding to a different category and containing information relating to the user's online activities; receiving a request for an item of content to be presented to the user in connection with information to be displayed by a device associated with the user; determining a context of the displayed information; identifying at least two of the user's user interest profiles belonging to respective categories that are relevant to the determined context; choosing the content item to be presented to the user based at least in part on information in the identified at least two user interest profiles; and causing the chosen content item to be delivered for presentation to the user.