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Prabhakar S Krishnamurthy

from Pleasanton, CA
Age ~60

Prabhakar Krishnamurthy Phones & Addresses

  • 3085 Boardwalk St, Pleasanton, CA 94588
  • Stanford, CA
  • Fremont, CA
  • San Bruno, CA
  • Alameda, CA

Resumes

Resumes

Prabhakar Krishnamurthy Photo 1

Startup Advisor And Mentor

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Location:
San Francisco, CA
Industry:
Internet
Work:
Briia
Startup Advisor and Mentor

Shanzhai City
Advisor

Miller Center For Social Entrepreneurship at Santa Clara University
Executive Mentor

Cisco Jan 2006 - Jul 2006
Vice President Analytics

Yahoo Jan 2006 - Jul 2006
Advertising Sciences Leader
Education:
University of California, Berkeley 2002
Stanford University 1990 - 1997
Doctorates, Doctor of Philosophy, Engineering, Management Science
National Institute of Technology, Tiruchirappalli
National Institute of Technology
Bachelors, Bachelor of Science
University of Florida
Master of Science, Masters, Computer Engineering
Skills:
Online Advertising
Analytics
Segmentation
Data Mining
Business Intelligence
Product Innovation
Product Development
Algorithms
Decision Analysis
Machine Learning
Predictive Analytics
Statistical Modeling
Price Optimization
Technology Evaluation
Pricing
Predictive Modeling
Client Segmentation
Certifications:
Creative Writing
Prabhakar Krishnamurthy Photo 2

Prabhakar Krishnamurthy

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Publications

Us Patents

Simulation Framework For Evaluating Designs For Sponsored Search Markets

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US Patent:
20090171728, Jul 2, 2009
Filed:
Dec 27, 2007
Appl. No.:
11/965002
Inventors:
Tak W. Yan - Palo Alto CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
Ketan Deshpande - San Jose CA, US
Chih-Chao Chang - Santa Clara CA, US
Soam Acharya - San Bruno CA, US
International Classification:
G06Q 10/00
G06F 17/30
G06Q 30/00
US Classification:
705 8, 707 3, 705 14, 705 30, 707E17014
Abstract:
The present invention provides a method and apparatus for sponsored Internet-based search simulation. The present invention includes receiving a search query sequence that represents a search query and selecting one or more advertisements based on the search query sequence. The present invention further includes filtering the plurality of advertisements based on advertising budget data and determining a number of user-selections on the advertisements using a pre-calculated user-selection model. The present invention further includes updating advertiser account information regarding advertising rates in response to the number of user-selections and generating simulation log data reflecting the advertisings, user-selections and advertising account information. This technique thereby performs the simulation based on user search queries, in response to user-selection models and references the user-selection and advertisement with advertisement budget data, consistent with live sponsored search result operations.

Inferring An Optimal Minimum Reserve Price From A Distribution Of Bids In An Online Auction

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US Patent:
20100262458, Oct 14, 2010
Filed:
Apr 13, 2009
Appl. No.:
12/422860
Inventors:
Michael Schwarz - Berkeley CA, US
Marcin Mejran - Mountain View CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
G06N 5/02
G06Q 10/00
US Classification:
705 10, 705 26, 706 46, 705400
Abstract:
Methods, apparatuses and systems directed to online auctions for keywords used in queries processed by online search engines. Particular implementations of the invention are directed to correlating a distribution of values to a distribution of bids and an optimal minimum reserve price based on historical bid data accumulated as part of producing search results.

Inferring A Distribution Of Values From A Distribution Of Bids In An Online Auction

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US Patent:
20100262510, Oct 14, 2010
Filed:
Apr 13, 2009
Appl. No.:
12/422845
Inventors:
Michael Schwarz - Berkeley CA, US
Marcin Mejran - Mountain View CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/00
G06N 5/02
US Classification:
705 26, 706 52
Abstract:
Methods, apparatuses and systems directed to online auctions for keywords used in queries processed by online search engines. Particular implementations of the invention are directed to correlating a distribution of values to a distribution of bids and an optimal minimum reserve price based on historical bid data accumulated as part of producing search results.

Method And System For Generating Web Pages For Topics Unassociated With A Dominant Url

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US Patent:
20120158693, Jun 21, 2012
Filed:
Dec 17, 2010
Appl. No.:
12/971608
Inventors:
Panagiotis Papadimitriou - Menlo Park CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
Frederick Kenneth Schmidt - Califon NJ, US
Assignee:
YAHOO! INC. - Sunnyvale CA
International Classification:
G06F 17/30
US Classification:
707708, 707E17108
Abstract:
Techniques are provided for identifying topics that are unassociated with a dominant URL. A set of keywords associated with a topic is identified. A search log is scanned to identify search queries associated with the set of keywords. The identified search queries are grouped into clusters. Clusters associated with similar URLs are merged to generate an extended seed query string. The extended seed query string is analyzed to determine whether it relates to an existing dominant URL. If the extended seed query string is determined to be unassociated with an existing dominant URL, a web page associated with the topic may be generated.

Methods Incorporating Pacing Constriants For Bidding Online Advertisement Display And Apparatus Conducting The Same

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US Patent:
20140006141, Jan 2, 2014
Filed:
Jun 29, 2012
Appl. No.:
13/539271
Inventors:
Sergei Vassilvitskii - New York NY, US
Patrick R. Jordan - Mountain View CA, US
Chris Leggetter - Belmont CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
David Pardoe - Sunnyvale CA, US
Uri Nadav - Menlo Park CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1445, 705 1471
Abstract:
The present application relates to systems and computer-implemented methods for determining a future bidding strategy regarding auctions associated with realization of an online advertisement. In some implementations, a server may be used to determine an optimized bid pacing parameter for an online advertisement based on a current bid pacing parameter associated with the online advertisement and an online advertisement supply information for a time period so that based on the optimized bid pacing, realization of the online advertisement over the time period substantially confirms to a spending strategy associated with the online advertisement during the time period. As such, the systems and computer-implemented methods may allow advertisers to control their spending strategy accurately during an advertising campaign.

Method Of Calculating A Reserve Price For An Auction And Apparatus Conducting The Same

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US Patent:
20140006144, Jan 2, 2014
Filed:
Jun 29, 2012
Appl. No.:
13/539273
Inventors:
David Pardoe - Sunnyvale CA, US
Patrick R. Jordan - Mountain View CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
Sergei Vassilvitskii - New York NY, US
Erik Vee - San Mateo CA, US
Mohammad Mahdian - Santa Clara CA, US
Mercin Mejran - Mountain View CA, US
Assignee:
Yahoo Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1446, 705 1471
Abstract:
The present application relates to systems and computer-implemented methods for calculating a suggested reserve price associated with an opportunity to realize an online advertisement. In some implementations, data associated with historical online advertisement auctions are clustered based on a reference opportunity for realizing an online advertisement, wherein each historical online advertisement auction of the cluster is associated with a first bid price of higher value and a second bid price of lower value; a dominance relationship between a distribution of the first bid prices of the cluster and a distribution of the second bid prices of the cluster is determined; a reserve price associated with the cluster based on the dominance relationship is calculated; and the reserve price is stored as a suggested reserve price to realize an online advertisement, wherein the suggested reserve price is associated with the reference opportunity that is associated with the cluster.

Method Of Offline Experimentation Environment And Apparatus Conducting The Same

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US Patent:
20140006171, Jan 2, 2014
Filed:
Jun 29, 2012
Appl. No.:
13/539266
Inventors:
Patrick R. Jordan - Mountain View CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
David Pardoe - Sunnyvale CA, US
Chris Leggetter - Belmont CA, US
Sergei Vassilvitskii - New York NY, US
Chris Bartels - Sunnyvale CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06Q 30/02
US Classification:
705 1471
Abstract:
The present application relates to systems and computer-implemented methods for calculating a suggested market variable associated with an auction of an online advertisement realization opportunity. In some implementations, an optimization procedure may be operated, wherein the optimization procedure may comprise sending an initial market variable associated with one or more auctions to bidding agents; receiving from each of the bidding agents a response market variable associated with the initial market variable; determining according to an auction bidding rule a winning market variable from the response market variables; and substituting the initial market variable with the wining market variable. The optimization procedure may be operated repeatedly until the winning market variable stabilizes. Then the stabilized market variable may be sent to an advertiser as the suggested market variable.

Target Pricing System

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US Patent:
6963854, Nov 8, 2005
Filed:
Mar 3, 2000
Appl. No.:
09/517983
Inventors:
Dean Boyd - Cottage Grove OR, US
Mike Gordon - San Mateo CA, US
Jorgen Andersson - Sunnyvale CA, US
Chia-Hung Charles Tai - Sunnyvale CA, US
Feng Yang - Sunnyvale CA, US
Anupama Kolamala - Mt. View CA, US
Greg Cook - Mt. View CA, US
Thomas Guardino - Eugene OR, US
Mudita Purang - Sunnyvale CA, US
Prabhakar Krishnamurthy - Pleasanton CA, US
Mark Cooke - El Granada CA, US
Ravi Nandiwada - San Jose CA, US
Brian Monteiro - Sunnyvale CA, US
Steve Haas - Menlo Park CA, US
Assignee:
Manugistics, Inc. - Rockville MD
International Classification:
G09F017/60
US Classification:
705 37, 705 1, 705 35, 705400
Abstract:
A business process and computer system known as the “Target Pricing System” (TPS) that generates an optimum bid or value for a competitively bid good or service. The system is resident on one or more host processors in connection with one or more data stores, and includes a product model that defines list values for the bid using stored price data and costs the values using stored cost data, a competitor net price model that calculates an equivalent competitor net price for the value, and.
Prabhakar S Krishnamurthy from Pleasanton, CA, age ~60 Get Report