Date: Wednesday, 14 June 2006, 6:30 PM
Location: SAP LABS, Building D, 3410 Hillview Avenue,
Palo Alto, CA (Google
Maps | Yahoo!
Maps | Mapquest)
Cost: Free and open to all who wish to attend, but membership is
only $10/year.
Topic
Electronic Commerce is now entering its second decade, with Amazon.com and eBay now in existence for ten years. With massive amounts of data, an actionable domain, and measurable ROI, multiple companies use data mining and knowledge discovery to understand their customers and improve interactions. The talk will cover important lessons and challenges using e-commerce examples across two dimensions: (i) business-level to technical, and (ii) the mining lifecycle from data collection, data warehouse construction, to discovery and deployment. The talk will include examples from real-world A/B tests and Simpson's paradox.
About the Speaker
Ronny Kohavi is the General Manager for Microsoft's Experimentation Platform in Windows Live. He was previously the director of data mining and personalization at Amazon.com, and the Vice President of Business Intelligence at Blue Martini Software. Prior to joining Blue Martini, Kohavi managed the MineSet project, Silicon Graphics' award-winning product for data mining and visualization. He received his Ph.D. in Machine Learning from Stanford University, where he led the MLC++ project, the Machine Learning library in C++ used in MineSet and at Blue Martini Software. Kohavi received his BA from the Technion, Israel. He was the General Chair for KDD 2004.
See also:
http://exp-platform.com/acmDMSig.aspx
Ron
Kohavi (left) and Ramasubbu "Venky" Venkatesh
