Ilyong Shin, Gunwook Lee, Mihyang Lee, Xingnan Jin, Taesup Yoon, Younghwan Lim
(Dept. of Media, Graduate School of Soongsil University, Seoul 156-743, Korea)
Abstract：Users can obtain the information through a basic web searching and find the answer to the questions directly, but maybe the expected answer does not exist. Besides, we do not know the update of new information in time. The online social networking services spread quickly and store many user data, but these data are worth less and may be unreliable answer to users' questions. Users can obtain the simple answer but can not expect more additional information in knowledge question-answering (QA) system. In this paper, we design the system with the advantages of knowledge QA system, web searching and characteristics of social networking service for providing social network channel based on the query and answer without users' contact network. The user can obtain real-time answers by the user network interested in users’ querires through the network channel of this system, get the additional information effectively and share it with others in the social network channel in this system.
Key words：social networking service (SNS); model; query; search; communication channel
CLD number： TP393 Document code： A
Article ID： 1674-8042(2012)02-0173-06doi： 10.3969/j.issn.1674-8042.2012.02.015
References
[1] GUI Lei, TAN En-hua, CHEN Song-qing, et al. Analyzing patterns of user content generation in online social networks. Proc. of the 15th International Conference on Knowledge Discovery and Datamining, NewYork, USA, 2009:369-378.
[2] ZHAO De-jin, Rosson M B. How and why people twitter: the role that micro-blogging plays in informal communicationat work. Proc. of the International Conference on Supporting Group Work, 2009:243-252.
[3] Wilson C, Boe B, Sala A, et al. User interactions in social networks and their implications. Proc.of the 4th-ACM European Conference on Computer Systems, NewYork, 2009:205-218.
[4] Ellison N B, Lampe C, Steinfield C. Social network sites and society: current trends and future possibilities. Interactions, 2009, 16(1):6-9.
[5] Morris M R, Teevan J, Panovich K. What do people ask their social networks, and why? A survey study of status message QA behavior. Proc. of ACM Conference on Human Factors in Computing Systems (CHI 2010),Atlanta, CA, USA, 2010.
[6] Carmel D, Zwerdling N, Guy I, et al. Personalized social search based on the user's social network. Proc. of the 18th ACM Conference on Information and Knowledge Management, New York ,USA, 2009:1227-1236.
[7] FU Yu-peng, XIANG Rong-jing, LIU Yi-qun, et al. Finding experts using social network analysis. Proc. of the IEEE/WIC/ACM International Conference on Web Intelligence, Washington DC, USA, 2007:77-80.
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