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SUMMARY:IC Colloquium : Google Engineering Center Zurich: Technology and I
 nnovation for Web Search
DTSTART:20121029T161500
DTEND:20121029T173000
DTSTAMP:20260509T054454Z
UID:c7db34dba56fcc2a5e698e32a161e9594644bec8428f4a937b9111c1
CATEGORIES:Conferences - Seminars
DESCRIPTION:Thomas Hofmann\, Google\nAbstract\nZurich is home to one of th
 e largest Google development centers worldwide\, which today hosts more th
 an 800 engineers. Active projects span over many product areas\, including
  Web Search\, Online Advertising  E-Commerce\, You Tube\, Google Maps\, a
 nd Gmail\, just to name the largest ones. In this talk\, I will present hi
 ghlights of projects in the broader area of Web search\, which have been h
 ighly impactful for our users\, but which also involve many interesting co
 mputer science challenges. Examples include freshness in ranking\, entity 
 linking\, location inference\, transit routing\, and interactive data expl
 oration.\n\nBiography\nThomas Hofmann received a Ph.D. in Computer Science
  from the University of Bonn in 1997 and subsequently held postdoctoral po
 sitions at MIT and at UC Berkeley and the International Computer Science I
 nstitute. From 1999 until 2004 he was Assistant and then Associate Profess
 or in the Computer Science Department at Brown University. Between 2004 an
 d 2006\, he held a position as a Full Professor of Computer Science at the
  Technical University of Darmstadt\, while also serving as the Director of
  the Fraunhofer Institute for Integrated Publication and Information Syste
 ms. He is also co-founder and former CEO & Chief Scientist of Recommind In
 c\, a privately owned\, global company focusing on enterprise search\, pre
 dictive technologies and text analytics. Since July 2006\, Thomas is Direc
 tor of Engineering at Google based out of Zurich. He has helped grow the Z
 urich engineering center from about 50 to more than 1000 employees. During
  the 6+ years at Google\, he has lead projects in various areas\, includin
 g Web search\, e-commerce\, and internet advertising. His scientific inter
 ests are in machine learning\, natural language understanding\, and inform
 ation retrieval. He has published 60+ scientific papers in these areas. Si
 nce 2012\, he is also an adjunct professor in Computer Science at ETH Zuri
 ch.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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