JSM 2011 Online Program

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Abstract Details

Activity Number: 144
Type: Invited
Date/Time: Monday, August 1, 2011 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract - #300146
Title: Statistical Plumbing: Effective use of classical statistical methods for large scale applications
Author(s): Rachel Schutt*+ and Daryl Pregibon
Companies: Google Inc. and Google Inc.
Address: , , 10025, USA
Keywords: social networks ; large-scale ; google ; algorithms

Many of today's large scale applications have a lot in common with statistical applications 50 years ago. While the domains are obviously different (e.g., internet vs agriculture) and the amount of available data orders of magnitude larger, they often share the same underlying statistical model formulation. We present one such instance that is ubiquitous in the search engine industry, namely ranking. We draw on earlier work on ranking models (Bradley-Terry) and illustrate how methods devised in an earlier era are applicable today.

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