• DocumentCode
    3531882
  • Title

    Explore Social Question and Answer System Based on Relationships in Social Network

  • Author

    Qing Du ; Qixuan Wang ; Jiaying Cheng ; Yi Cai ; Tao Wang ; Huaqing Min

  • Author_Institution
    Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    490
  • Lastpage
    495
  • Abstract
    In recent years, Community Question Answering (CQA) service becomes more and more popular, which enables users to ask and answer questions on the web. One important problem is how to find out experts who are qualified and willing to answer the question. Also, with the rapidly increasing number of new questions, experts of experienced in specified domains are not easy to find their interested questions. In this paper, we assume that the ones who have relationships with the questioner are more willing to answer the questions proposed by the questioner than other people. Based on this assumption, we explore the problem of Social Question and Answering and proposed a method to find out the experts who are qualified and willing to answer the questions based on the social relationships of the questioner.
  • Keywords
    Internet; query processing; social networking (online); CQA service; World Wide Web; answer system; community question answering; social network; social question; Artificial neural networks; Communities; Educational institutions; Knowledge discovery; Social network services; Software engineering; Vectors; Collaborative Tagging; Personalized Search; User Profiling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-2140-9
  • Type

    conf

  • DOI
    10.1109/EIDWT.2013.88
  • Filename
    6631666