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

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Abstract:

Community Question Answering (CQA) attracts increasing volume of research on question retrieval, high quality content discovery and experts finding. However, few studies ...Show More

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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.

Published in: The 2012 International Joint Conference on Neural Networks (IJCNN)

Date of Conference: 10-15 June 2012

Date Added to IEEE Xplore: 30 July 2012

ISBN Information:

ISSN Information:

DOI: 10.1109/IJCNN.2012.6252435

Conference Location: Brisbane, QLD, Australia

References is not available for this document.

I. Introduction

Recently, Community Question Answering (CQA) services such as Yahoo! Answers¹

http://answers.yahoo.com/

and Baidu Zhida0²

http://zhidao.baidu.com/

have been developed to provide online users with more targeted and flexible online Question Answering services. Different from traditional Question Answering (QA) systems which automatically answer questions posed in natural language based on local database or data on the web, CQA services are featured with allowing users to answer questions asked by other users. As such, users are linked with each other and an online community of users is established. It is such kind of community which makes CQA distinct from QA.

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1.

J. Jeon, W. B. Croft, and J. H. Lee, "Finding semantically similar questions based on their answers," in Proc. of SIGIR '05, 2005.

CrossRef Google Scholar

2.

X. Cao, G. Cong, B. Cui, C. S. Jensen, and C. Zhang, "The use of categorization information in language models for question retrieval," in Proc. of CIKM '09, 2009.

CrossRef Google Scholar

3.

J. Jeon, W. B. Croft, and J. H. Lee, "Finding similar questions in large question and answer archives," in Prof of CIKM '05, 2005, pp. 84-90.

CrossRef Google Scholar

4.

G. Zhou, L. Cai, J. Zhao, and K. Liu, "P hrase-based translation model for question retrieval in community question answer archives." in ACL'Il, 2011, pp. 653-662.

5.

X. Xue, J. Jeon, and W. B. Croft, "Retrieval models for question and answer archives," in Proc. of SIGIR '08, 2008, pp. 475-482.

CrossRef Google Scholar

6.

K. Wang, Z. Ming, and T.-S. Chua, "A syntactic tree matching approach to finding similar questions in community-based qa services," in Proc. of SIGIR '09, 2009.

CrossRef Google Scholar

7.

X. Cao, G. Cong, B. Cui, and C. S. Jensen, "A generalized framework of exploring category information for question retrieval in community question answer archives," in Proc. ofWWW '/0, 2010, pp. 201-210.

CrossRef Google Scholar

8.

W. Wang, B. Li, and I. King, "Improving question retrieval in community question answering with label ranking," in Prof of IJCNN, 20 1 1.

9.

Y.-I. Song, C.-Y. Lin, Y. Cao, and H.-C. Rim, "Question utility: a novel static ranking of question search," in Proc. of AAAI '08, 2008.

10.

Z.-Y. Ming, T.-S. Chua, and G. Cong, "Exploring domain-specific term weight in archived question search," in Proc. of CIKM '/0, 2010.

CrossRef Google Scholar

11.

J. Jeon, W. B. Croft, J. H. Lee, and S. Park, "A framework to predict the quality of answers with non-textual features," in Proc. of SIGIR '06, 2006.

CrossRef Google Scholar

12.

E. Agichtein, C. Castillo, D. Donato, A. Gionis, and G. Mishne, "Finding high-quality content in social media," in Proc. of WSDM '08, 2008.

CrossRef Google Scholar

13.

X.-J. Wang, X. Tu, D. Feng, and L. Zhang, "Ranking community answers by modeling question-answer relationships via analogical reasoning," in Proc. of SIGIR '09, 2009.

CrossRef Google Scholar

14.

M. A. Suryanto, E. P. Lim, A. Sun, and R. H. L. Chiang, "Quality-aware collaborative question answering: methods and evaluation," in Proc. of WSDM '09, 2009.

CrossRef Google Scholar

15.

P. Jurczyk and E. Agichtein, "Discovering authorities in question answer communities by using link analysis," in Proc. of CIKM '07, 2007.

CrossRef Google Scholar

16.

P. Jurczyk and E. Agichtein, "Hits on question answer portals: exploration of link analysis for author ranking," in Proc. of SIGIR '07, 2007.

CrossRef Google Scholar

17.

J. Zhang, M. S. Ackerman, and L. Adamic, "Expertise networks in online communities: structure and algorithms," in Proc. of WWW '07, 2007.

CrossRef Google Scholar

18.

M. Bouguessa, B. Dumoulin, and S. Wang, "Identifying authoritative actors in question-answering forums: the case of yahoo! answers," in Prof of KDD '08, 2008.

CrossRef Google Scholar

19.

Y. Zhou, G. Cong, B. Cui, C. S. Jensen, and J. Yao, "Routing questions to the right users in online communities," in Proc. of ICDE '09, 2009, pp. 700-7 1 1.

20.

B. Li and I. King, "Routing questions to appropriate answerers in community question answering services," in Proc. of CIKM '/0, 2010.

CrossRef Google Scholar

21.

B. Li, I. King, and M. R. Lyu, "Question routing in community question answering: putting category in its place," in Proc. of CIKM 'Il, 2011, pp. 2041-2044.

CrossRef Google Scholar

22.

J. Guo, S. Xu, S. Bao, and Y. Yu, "Tapping on the potential of q&a community by recommending answer providers," in Proc. ofCIKM' 08, 2008, pp. 921-930.

CrossRef Google Scholar

23.

H. Ma, T. C. Zhou, M. R. Lyu, and I. King, "Improving recommender systems by incorporating social contextual information," ACM Trans. Inf Syst., vol. 29, pp. 9:1-9:23, Apr. 2011.

CrossRef Google Scholar

24.

W.-Y. Chen, D. Zhang, and E. Y. Chang, "Combinational collaborative filtering for personalized community recommendation," in Proc. of KDD '08, 2008, pp. 1 15-123.

CrossRef Google Scholar

25.

M. Mo and I. King, "Exploit of online social networks with communitybased graph semi-supervised learning," in Proc. of ICONIP '/0, 2010, pp. 669-678.

26.

M. Mo, D. Wang, B. Li, D. Hong, and I. King, "Exploit of online social networks with semi-supervised learning," in Proc. of IJCNN '/0, 2010, pp. 1 -8.

27.

L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman, "Knowledge sharing and yahoo answers: everyone knows something," in Proc. of WWW '08, 2008.

CrossRef Google Scholar

28.

E. Mendes Rodrigues and N. Milic-Frayling, "Socializing or knowledge sharing? characterizing social intent in community question answering," in Proc. of CIKM '09, 2009.

CrossRef Google Scholar

29.

Y. Liu, J. Bian, and E. Agichtein, "P redicting information seeker satisfaction in community question answering," in Proc. of SIGIR '08, 2008.

CrossRef Google Scholar

30.

A. Broder, R. Kumar, F. Maghoul, P. Raghavan, S. Rajagopalan, R. Stata, A. Tomkins, and J. Wiener, "Graph structure in the web," Computer Networks, 2000.

CrossRef Google Scholar

References is not available for this document.