The Smart Internet

Volume 6400 of the series Lecture Notes in Computer Science pp 103-114

Supporting Smart Interactions with Predictive Analytics

  • Patrick MartinAffiliated withSchool of Computing, Queen’s University
  • , Marie MathesonAffiliated withSchool of Computing, Queen’s University
  • , Jimmy LoAffiliated withToronto Laboratory, IBM Canada
  • , Joanna NgAffiliated withToronto Laboratory, IBM Canada
  • , Daisy TanAffiliated withToronto Laboratory, IBM Canada
  • , Brian ThomsonAffiliated withToronto Laboratory, IBM Canada

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Smart interactions, where web services are configured and integrated across multiple servers in order to better address the needs of the user, will be much more user-centric and responsive to user needs than current interactions. However, Smart interactions associated with decision-making tasks will specifically have to provide enhanced information or guidance linked to that task. In this paper we examine how predictive analytics can be used to provide cognitive support for smart interactions and outline a method consistent with the smart internet user model to facilitate the creation of predictive analytics components or services to support smart interactions for decision-making tasks.


Smart internet predictive analytics data warehouse