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Electronic commerce is revolutionizing the way we think about data modeling, by making it possible to integrate the processes of (costly) data acquisition and model induction. The opportunity for improving modeling through costly data acquisition presents itself for a diverse set of electronic commerce modeling tasks, from personalization to customer lifetime value modeling; we illustrate with the running example of choosing offers to display to web-site visitors, which captures importantdoi:10.1145/1282100.1282172 dblp:conf/ACMicec/ProvostMS07 fatcat:2xokdpbl7zhz3d2rceojl3n7x4