Finding Active Experts for Question Routing in Community Question Answering Services

  • Dipankar KunduEmail author
  • Rajat Kumar Pal
  • Deba Prasad Mandal
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11942)


In this article, we propose a method for finding active experts for a new question in order to improve the effectiveness of a question routing process. By active expert for a given question, we mean those experts who are active during the time of its posting. The proposed method uses the query likelihood language model, and two new measures, activeness and answering intensity. We compare the performance of the proposed method with its baseline query likelihood language model. We use a real-world dataset, called History, downloaded from Yahoo! Answers web portal for this purpose. In every comparing scenario, the proposed method is found to outperform the corresponding baseline model.


Active experts Query likelihood language model Question routing Community question answering 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Dipankar Kundu
    • 1
    Email author
  • Rajat Kumar Pal
    • 2
  • Deba Prasad Mandal
    • 1
  1. 1.Machine Intelligence UnitIndian Statistical InstituteKolkataIndia
  2. 2.Department of CSEUniversity of CalcuttaKolkataIndia

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