E-WISE: An Expertise-Driven Recommendation Platform for Web Question Answering Systems

  • Jie Yang
  • Alessandro Bozzon
  • Geert-Jan Houben
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9114)


This demo presents E-WISE, an expertise-driven recommendation platform built upon Web Question Answering (QA) systems to assist askers in question-answering process. Despite that crowdsourcing knowledge (e.g., on-line question-answering) is becoming increasingly important, it remains a big challenge to accelerate its process. E-WISE blends the recently developed methods for knowledge crowdsourcing acceleration, including 1) an edit suggestion component to improve question quality; 2) a question routing component that suggests a list of ranked answerers. Both components are automatic, and meanwhile enable a human controlling part: askers can make their decisions in selecting the right edits/answerers among the suggested ones, which guarantees the effectiveness of the suggesting components and provides feedback to the suggesting methods. E-WISE will be demonstrated through a case study on Stack Overflow – a popular QA systems, to exemplify its functions and potential in on-line knowledge creation.


Crowdsourcing Knowledge creation Question answering Edit suggestion Question routing 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Delft University of TechnologyDelftThe Netherlands

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