JSM Preliminary Online Program
This is the preliminary program for the 2008 Joint Statistical Meetings in Denver, Colorado.
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Some sessions have been moved to accommodate conflicts. Session numbers were resequenced April 4, 2008. This online program reflects these changes and always includes the most up-to-date information.


Activity Number: 250
Type: Invited
Date/Time: Tuesday, August 5, 2008 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #300305
Title: Understanding Online Advertisers
Author(s): Daryl Pregibon*+ and Diane Lambert
Companies: Google, Inc. and Google, Inc.
Address: 76 Ninth Ave, New York, NY, 10011,
Keywords: selection bias ; internet search ; network models ; ad effectiveness
Abstract:

Users of search engines (SEs) are often regarded as the primary constituents of successful SEs. The paying customers, namely advertisers, enable the free services that SEs provide and yet they are not as well understood as the user population. We discuss several studies that focus on advertisers: methods for evaluating usefulness of new tools to manage their campaigns, and methods for assessing campaign effectiveness. We also introduce the concept of advertiser graphs as a vehicle to better understand advertisers and their inter-relationships.


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Revised September, 2008