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
Link To Document :
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