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UID:31@oxon.bcs.org
DTSTART;TZID=Europe/London:20190516T193000
DTEND;TZID=Europe/London:20190516T210000
DTSTAMP:20190331T103239Z
URL:https://oxon.bcs.org/programme/applying-machine-learning-to-search/
SUMMARY:Applying Machine Learning techniques to make Informational Retrieva
 l simple and conversational
DESCRIPTION:\nErik M. Schwartz\, VP Search Experience\, Elsevier\nInformati
 on Retrieval has evolved significantly over the past few decades\, giving 
 humans access to more content than ever\, but as consumers of this knowled
 ge we have not got any better at asking questions or effectively expressin
 g our intent. Search engine technology is becoming open sourced and provid
 ed as a commodity. New techniques\, which combine procedural and machine l
 earning programming methods\, are improving the experience for the user. T
 his is making the technology simpler to use\, with more conversational int
 eraction patterns\, and really good personalised\, relevant results. In th
 is talk\, we will explore the new techniques and discuss how best to apply
  them to the task of discovering and distilling scientific research.\nHelp
  Promote This Event\n[wpdm_package id='2299']
ATTACH;FMTTYPE=image/jpeg:https://oxon.bcs.org/wp-content/uploads/2018/09/
 DataSearch.jpg
LOCATION:Department of Computer Science\, University of Oxford\, 6 Keble Ro
 ad\, Oxford\, Oxfordshire\, OX1 3QG\, United Kingdom
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 of Computer Science\, University of Oxford:geo:0,0
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