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SUMMARY:Learning to Spell: Spelling corrections for Facebook Search - Dani
 el Bernhardt\, Facebook
DTSTART:20151014T120000Z
DTEND:20151014T130000Z
UID:TALK61591@talks.cam.ac.uk
CONTACT:Jan Samols
DESCRIPTION:The Facebook social graph is growing. Currently Facebook has n
 early 1.5B monthly active users who have produced 2T posts. Facebook Searc
 h is one of the pillars of this growth - by affording users to search for 
 people they know in daily life and by allowing the discovery of new conten
 t from deep within the Graph. Often we might know what our friend is calle
 d\, but not how to spell their name in order to connect with them. Daniel 
 Bernhardt works on the Speller Team at Facebook London which is working on
  this problem. The talk will focus on how the team uses machine learning t
 o build the Facebook Speller and what challenges lie ahead.\n\nDaniel has 
 been working on the Search team at Facebook London since August 2013. He i
 s interested in search relevance\, metrics and query rewriting. His recent
  work concerns the relevance stack for the Graph Search Speller as well as
  other NLP components including synonym expansions. His team has developed
  a number of machine learning components for ranking and classification as
  well as quality measurement. Before joining Facebook he was a software en
 gineer in web search at Bing London\, working on a number of projects incl
 uding news classification\, business taxonomy mining and query prediction.
  In 2009 he received a PhD in affective computing from the Computer Labora
 tory\, University of Cambridge. His supervisor was Peter Robinson.
LOCATION:LT2\, Computer Laboratory
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