华南理工大学学报(自然科学版) ›› 2015, Vol. 43 ›› Issue (1): 132-139.doi: 10.3969/j.issn.1000-565X.2015.01.021

• 计算机科学与技术 • 上一篇    下一篇

基于社交关系的问答系统及最佳回答者推荐技术

杜卿 王齐轩 黄东平 蔡毅 王涛 闵华清   

  1. 华南理工大学 软件学院 , 广东 广州 510006
  • 收稿日期:2014-01-06 修回日期:2014-09-24 出版日期:2015-01-25 发布日期:2014-12-01
  • 通信作者: 蔡毅(1980-) , 男 , 博士 , 副教授 , 主要从事数据挖掘领域、信息检索研究 . E-mail:ycai@scut.edu.cn
  • 作者简介:杜卿(1980-) , 女 , 博士 , 讲师 , 主要从事人工智能、信息检索研究 .E-mail : duqing@scut.edu.cn
  • 基金资助:

    国家自然科学基金资助项目( 61300137 ) ; 广东省自然科学基金资助项目( S2013010013836 ) ; 华南理工大学中央高校基本科研业务费专项资金资助项目( 2012ZM0077 )

Question Answering System Based on Social Relationship and Recommendation of the Best Answerer

Du Qing Wang Qi-xuan Huang Dong-ping Cai Yi Wang Tao Min Hua-qing   

  1. School of Software Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China
  • Received:2014-01-06 Revised:2014-09-24 Online:2015-01-25 Published:2014-12-01
  • Contact: 蔡毅(1980-) , 男 , 博士 , 副教授 , 主要从事数据挖掘领域、信息检索研究 . E-mail:ycai@scut.edu.cn
  • About author:杜卿(1980-) , 女 , 博士 , 讲师 , 主要从事人工智能、信息检索研究 .E-mail : duqing@scut.edu.cn
  • Supported by:
    Supported by the National Natural Science Foundation of China ( 61300137 ) and the Guangdong Natural Science Foundation ( S2013010013836 )

摘要: 近年来,社区问答服务系统( CQA )越来越受到人们的欢迎,但随着提问规模的膨胀,获得回答的问题比重逐步降低,且答案质量无法得到保障 . 为了提高问答系统中问题被解答的概率,并提升答案可信度,文中提出了基于社交关系相似度的社交问答系统( SQA ),主动寻找与提问者社交关系紧密且能够回答问题的用户,并提出了针对提问者与最佳回答者的推荐方法 . 实验结果表明,在主观性强或实时性强等问题集上,文中方法能更快地得到让提问者满意的答案.

关键词: 问答系统, 社交关系相似度, 社交网络

Abstract:

In recent years, community question answering system (CQA) are becoming popular. But with the expansion of the scale of the questions, the proportion of questions that got answered gradually reduced, and the quality of the answers cannot be guaranteed. In order to increase the answering probability of the questions in Q&A system, and enhance the credibility of answer, we put forward Social question answering System based on the social relationship similarity measure. Then we raise a method to find suitable respondents who are willing to answer and are familiar with related field. Experimental results show that the method of this paper can get satisfactory answers faster compared with the traditional Q&A System on the subjectivity or real-time problem sets.

Key words: question answering system, social relationship similarity, social networking

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