计算机与现代化

• 算法设计与分析 • 上一篇    下一篇

社区问答系统中问题推荐机制

  

  1. 北京工业大学计算机学院,北京100124
  • 收稿日期:2015-03-11 出版日期:2015-08-08 发布日期:2015-08-19
  • 作者简介:蒋宗礼(1956-),男,河南南阳人,北京工业大学计算机学院教授,博士生导师,硕士,研究方向:搜索引擎,人工神经网络; 李立新(1989-),女,北京人,硕士研究生,研究方向:网络信息搜索与处理。
  • 基金资助:
    国家级教学团队建设项目(00700054J1901)

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

摘要: 在社区问答系统中,每天大量涌现的问题导致用户很难寻找自己感兴趣并且擅长的问题进行回答。为了更好地解决这一问题,本文根据用户兴趣,将用户的活跃度指数融入推荐算法。实验结果显示,该方法在一定程度上提高了问题推荐的效率。

关键词: 社区问答系统, 问题推荐, 用户活跃度, 衰减窗口

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

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