Joint voting prediction for questions and answers in CQA

Yuan Yao; Hanghang Tong; Tao Xie; Leman Akoglu; Feng Xu; Jian Lu

doi:10.1109/ASONAM.2014.6921607

Joint voting prediction for questions and answers in CQA

Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Community Question Answering (CQA) sites have become valuable repositories that host a massive volume of human knowledge. How can we detect a high-value answer which clears the doubts of many users? Can we tell the user if the question s/he is posting would attract a good answer? In this paper, we aim to answer these questions from the perspective of the voting outcome by the site users. Our key observation is that the voting score of an answer is strongly positively correlated with that of its question, and such correlation could be in turn used to boost the prediction performance. Armed with this observation, we propose a family of algorithms to jointly predict the voting scores of questions and answers soon after they are posted in the CQA sites. Experimental evaluations demonstrate the effectiveness of our approaches.

Original language	English (US)
Title of host publication	ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Editors	Xindong Wu, Xindong Wu, Martin Ester, Guandong Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	340-343
Number of pages	4
ISBN (Electronic)	9781479958771
DOIs	https://doi.org/10.1109/ASONAM.2014.6921607
State	Published - Oct 10 2014
Event	2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China Duration: Aug 17 2014 → Aug 20 2014

Publication series

Name	ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Other

Other	2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
Country/Territory	China
City	Beijing
Period	8/17/14 → 8/20/14

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/ASONAM.2014.6921607

Cite this

Yao, Y., Tong, H., Xie, T., Akoglu, L., Xu, F., & Lu, J. (2014). Joint voting prediction for questions and answers in CQA. In X. Wu, X. Wu, M. Ester, & G. Xu (Eds.), ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 340-343). Article 6921607 (ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2014.6921607

Joint voting prediction for questions and answers in CQA. / Yao, Yuan; Tong, Hanghang; Xie, Tao et al.
ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. ed. / Xindong Wu; Xindong Wu; Martin Ester; Guandong Xu. Institute of Electrical and Electronics Engineers Inc., 2014. p. 340-343 6921607 (ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yao, Y, Tong, H, Xie, T, Akoglu, L, Xu, F & Lu, J 2014, Joint voting prediction for questions and answers in CQA. in X Wu, X Wu, M Ester & G Xu (eds), ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining., 6921607, ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Institute of Electrical and Electronics Engineers Inc., pp. 340-343, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, 8/17/14. https://doi.org/10.1109/ASONAM.2014.6921607

Yao Y, Tong H, Xie T, Akoglu L, Xu F, Lu J. Joint voting prediction for questions and answers in CQA. In Wu X, Wu X, Ester M, Xu G, editors, ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Institute of Electrical and Electronics Engineers Inc. 2014. p. 340-343. 6921607. (ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining). doi: 10.1109/ASONAM.2014.6921607

Yao, Yuan ; Tong, Hanghang ; Xie, Tao et al. / Joint voting prediction for questions and answers in CQA. ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. editor / Xindong Wu ; Xindong Wu ; Martin Ester ; Guandong Xu. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 340-343 (ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining).

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AB - Community Question Answering (CQA) sites have become valuable repositories that host a massive volume of human knowledge. How can we detect a high-value answer which clears the doubts of many users? Can we tell the user if the question s/he is posting would attract a good answer? In this paper, we aim to answer these questions from the perspective of the voting outcome by the site users. Our key observation is that the voting score of an answer is strongly positively correlated with that of its question, and such correlation could be in turn used to boost the prediction performance. Armed with this observation, we propose a family of algorithms to jointly predict the voting scores of questions and answers soon after they are posted in the CQA sites. Experimental evaluations demonstrate the effectiveness of our approaches.

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Joint voting prediction for questions and answers in CQA

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