Who have got answers? Growing the pool of answerers in a smart enterprise social QA system

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2014, Pages 7-16

  Luo, Lin ^a   Wang, Fei ^b   Zhou, Michelle X ^b   Pan, Ying Xin ^a   Chen, Hang ^a  

^a IBM RESEARCH   (United States)

^b IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

Answerer recommendation; Question routing; Social QA

Indexed keywords

ANSWERER RECOMMENDATION; CONSTRAINT-BASED; DISTANCE METRIC LEARNING; PREDICTIVE MODELING; QUESTION ROUTING; REAL WORLD EXPERIMENT; SOCIAL QA; SOLUTION ROUTES;

INDUSTRY; LAKES;

PERSONNEL TRAINING;

EID: 84897804802     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2557500.2557531     Document Type: Conference Paper

References (26)

1. Davis, J., Kulis, B., Jain, P., Sra, S. and Dhillon, I., "Information- theoretic metric learning," in Proceedings of International Conference on Machine Learning (ICML), 2007.
2. Dror, G., Koren, Y., Maarek, Y., and Szpektor, I., I want to answer, who has a question? Yahoo! Answers recommender system. KDD'11, 1109-1117.
3. Ehrlich, K., Lin, C., and Griffiths-Fisher, V., Searching for experts in the enterprise: Combining text and social network analysis. Group'07, 117-126.
4. Gazan, R. Social Q&A. J. of the Amer. Soc. for Info. Sci. & Tech., Advances in Information Science, 2011.
5. Golbeck, J. Robles, C., Edmondson, M., Turner, K. 2011. Predicting Personality from Twitter. In Proc. IEEE SocialCom.
6. Guo, J., Xu, S., Bao, S., and Yu, Y., Tapping on the potential of Q&A community by recommending answer providers. CIKM '08, 921-930.
7. Guy, I., Zwerdling, N., Ronen, I., Carmel, D., and Uiel, E., Social media recommendation based on people and tags, SIGIR'10, 194-201.
8. Horowitz, E., and Kamvar, S. D., The anatomy of a large-scale social search engine. WWW'10, 431-440.
9. Krishna, V. and Rani, T. On the Classification of Imbalanced Datasets. International Journal of Computer Science and Technology, Vol, 2: 145-148, 2011.
10. Liu, Q., and Agichtein, E., Modeling answerer behavior in collaborative question answering systems. ECIR'01, 67-79.
11. Liu, X., Croft, W. B., and Koll, M., Finding experts in community- based question-answering services, CIKM'05, 315-316.
12. Mahmud, J., Zhou, M.X., Maggido, N., and Nichols, J. Recommending Targeted Strangers from Whom to Solicit Information on Social Media. Proc. IUI 2013, 37-48.
13. Mamykina, L., Manoim, B., Mittal, M., Hripcsak, G., and Hartmann, B. Design lessons from the fastest Q&A site in the West. CHI '11, 2857-2866.
14. Morris, M. R., Teevan, J., and Panovich, K., What do people ask their social networks, and why? A survey study of status message Q&A behavior, CHI'10, 1739-1748.
15. Muller, M. Lurking as personal trait or situational disposition? Lurking and contributing in enterprise social media, CSCW'12, 253-256.
16. Pal, A., Farzan, R., Konstan, J. A., and Kraut, R. E., Early detection of potential experts in question answering communities, UMAP'11, 231-242.
17. Pan, Y., Luo, L. Chi, C., and Liao, Q. To answer or not: What What non-QA social activities can tell? CSCW 2013.
18. Pennebaker, J.W., Francis, M.E., and Booth, R.J. Linguistic Inquiry and Word Count. Erlbaum Publishers, 2001.
19. Qu, M., Qiu, G., He, X., Zhang, C., Wu, H., Bu, J., and Chen, C. Probabilistic question recommendation for question answering communities. WWW '09, 1229-1230.
20. Richardson, M., and White, R. W., Supporting synchronous social Q&A throughout the question lifecycle, WWW'11, 755- 764.
21. Sung J., Lee, J. and Lee, U. Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services. Proc. ICWSM 2013.
22. Xing, E., Ng, A., Jordan, M., and Russel, S. Distance metric learning, with application to clustering with side-information. Proc. NIPS' 2002, 505-512.
23. Yang, Y., and Pedersen, O.J. A Comparative Study on Feature Selection in Text Categorization. In Proc. ICML, 1997.
24. Yarkoni, Tal. Personality in 100,000 words: A largescale analysis of personality and word usage among bloggers. Journal of Research in Personality 2000.
25. Zhang, J., Ackerman, M. S., Adamic, L., and Nam, K. K., QuME: A mechanism to support expertise finding in online help-seeking communities, Proc. UIST'07, 111-114.
26. Zhou, Z. M., Lan, M., Niu, Z. Y., and Yu, Y., Exploiting user profile information for answer ranking in cQA, WWW2012 Companion