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A paper by six Googlers from the recent KDD 2011 conference, "Detecting Adversarial Advertisements in the Wild" (PDF) is a broadly useful example of how to succeed at tasks requiring very high accuracy using a combination of many different machine learning algorithms, high quality human experts, and lower quality human judges. Let's start with an excerpt from the paper:A small number of adversaria
Chris Olston, Benjamin Reed, Adam Silberstein, and Utkarsh Srivastava at Yahoo Research had a USENIX 2008 paper, "Automatic Optimization of Parallel Dataflow Programs" (PDF), that looks at optimizations for large-scale Hadoop clusters using Pig. The paper says that it is only attempting "to suggest some jumping-off points for [optimization] work." With much of the paper spending a fair amount of t
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