Abstract
The last five years have seen a tremendous growth in online search, advertising and gaming services. Today, it is extremely important to analyse large collections of user interaction data as a first step in building predictive models for these services. These collections pose challenges not only in their size—often exceeding tera-bytes (TB) of data—but also in their heterogeneity. We report on two applications of large scale data analysis performed at Microsoft Research and how data analysis guided model development:
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