• DocumentCode
    2770416
  • Title

    Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing?

  • Author

    Baichuan Li ; Lyu, Michael R. ; King, Irwin

  • Author_Institution
    Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Community Question Answering (CQA) attracts increasing volume of research on question retrieval, high quality content discovery and experts finding. However, few studies are focused on community per se of CQA services and also provide an in-depth analysis of them. This paper aims to enrich our knowledge on two of these CQA services, namely Yahoo! Answers and Baidu Zhidao through reviewing their communities, comparing similarities and differences of the two communities, together with analyzing their influence on solving questions. Six data sets are employed for comparative analysis. In this paper: (1) We analyze the social network structures of Yahoo! Answers and Baidu Zhidao; (2) We compare the the social community characteristics of top contributors; (3) We reveal the behaviors of users in different categories in these two portals; (4) We reveal temporal trends of these characteristics; (5) We find that the community of Yahoo! Answers and Baidu Zhidao complement each other in efficiency and effectiveness of answering questions.
  • Keywords
    question answering (information retrieval); social networking (online); Baidu Zhidao; CQA services; Yahoo! Answers; community question answering; comparative analysis; content discovery; data sets; expert finding; question retrieval; social community characteristics; social network structures; user behavior; Baidu Zhidao; Community question answering; Yahoo! Answers; community; comparative analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252435
  • Filename
    6252435