Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned
Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Online controlled experiments, also called A/B testing, have been established as the mantra for data-driven decision making in many web-facing companies. In recent years, there are emerging research works focusing on building the platform and scaling it up [34], best practices and lessons learned to obtain trus
Mining Text Snippets for Images on the Web - Microsoft Research
Anitha Kannan , Simon Baker , Krishnan Ramnath , Juliet Fiss , Dahua Lin , Lucy Vanderwende , Rizwan Ansary , Ashish Kapoor , Qifa Ke , Matt Uyttendaele , Xin-Jing Wang , Lei Zhang KDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining | August 2014 Published by ACM Press Publication Images can be used to convey many different concepts or illustr
Puzzling outcomes in A/B testing
A fun upcoming KDD 2012 paper out of Microsoft, "Trustworthy Online Controlled Experiments: Five Puzzling Outcomes Explained" (PDF), has a lot of great insights into A/B testing and real issues you hit with A/B testing. It's a light and easy read, definitely worthwhile. Selected excerpts:We present ... puzzling outcomes of controlled experiments that we analyzed deeply to understand and explain ..
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KDD 2018 Tutorial T39: Building a Large-scale, Accurate and Fresh Knowledge Graph
Building a Large-scale, Accurate and Fresh Knowledge Graph
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