DocumentCode
3531882
Title
Explore Social Question and Answer System Based on Relationships in Social Network
Author
Qing Du ; Qixuan Wang ; Jiaying Cheng ; Yi Cai ; Tao Wang ; Huaqing Min
Author_Institution
Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
490
Lastpage
495
Abstract
In recent years, Community Question Answering (CQA) service becomes more and more popular, which enables users to ask and answer questions on the web. One important problem is how to find out experts who are qualified and willing to answer the question. Also, with the rapidly increasing number of new questions, experts of experienced in specified domains are not easy to find their interested questions. In this paper, we assume that the ones who have relationships with the questioner are more willing to answer the questions proposed by the questioner than other people. Based on this assumption, we explore the problem of Social Question and Answering and proposed a method to find out the experts who are qualified and willing to answer the questions based on the social relationships of the questioner.
Keywords
Internet; query processing; social networking (online); CQA service; World Wide Web; answer system; community question answering; social network; social question; Artificial neural networks; Communities; Educational institutions; Knowledge discovery; Social network services; Software engineering; Vectors; Collaborative Tagging; Personalized Search; User Profiling;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-2140-9
Type
conf
DOI
10.1109/EIDWT.2013.88
Filename
6631666
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