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Question Recommendation Mechanism in Community Question Answering Systems

  

  1. College of Computer, Beijing University of Technology, Beijing 100124, China
  • Received:2015-03-11 Online:2015-08-08 Published:2015-08-19

Abstract: In the community question answering system, there are so many questions that lead to the user very difficult to find his interested in and be good at questions to answer. In order to solve this problem, this paper based on user’s interest and then put his recent activity into the recommendation algorithm. The experiment results show that this modified method can improve the efficiency of algorithm to some degree.

Key words: community question answering system; question recommendation; user active degree, damped window

CLC Number: