Alex Smola received the Master's degree in Physics at the
University of Technology Munich in 1996, and the Doctoral Degree
in computer science at the University of Technology Berlin in
1998. Until 1999 he was a researcher at the GMD Institute for
Software Engineering and Computer Architecture in Berlin (now
part of the Fraunhofer Geselschaft). After that, he worked as a
Researcher and Group Leader at the Research School for
Information Sciences and Engineering of the Australian National
University. From 2004 onwards he worked as a Senior Principal
Researcher and Program Leader at the Statistical Machine Learning
Program at NICTA. Since 2008, he has been a Principal Research
Scientist at Yahoo! Research in Santa Clara, CA, USA.

AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI   Info

Expert Audience

English

90 Minutes

Saarbrücken

Scalable content personalization and profiling is a key tool for the internet. In this talk I will illustrate based on three problems
how this can be achieved. More specifically I will show how hashing can be used to deal with compactly representing enormous
amounts of parameters, how distributed latent variable inference can be used for user profiling, and how session modeling provides
an attractive alternative to ranking.

Claudia Richter

9303 9103

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Yes

Kaiserslautern

G26

206

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