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http://dx.doi.org/10.5392/JKCA.2017.17.11.060

Expert Recommendation Scheme by Fields Using User's interesting, Human Relations and Response Quality in Social Networks  

Song, Heesub (충북대학교 빅데이터학과)
Yoo, Seunghun (충북대학교 정보통신공학과)
Jeong, Jaeyun (충북대학교 정보통신공학과)
Park, Jaeyeol (충북대학교 정보통신공학과)
Ahn, Jihwan (충북대학교 정보통신공학과)
Lim, Jongtae (충북대학교 정보통신공학과)
Bok, Kyoungsoo (충북대학교 정보통신공학과)
Yoo, Jaesoo (충북대학교 정보통신공학과)
Publication Information
The Journal of the Korea Contents Association / v.17, no.11, 2017 , pp. 60-69 More about this Journal
Abstract
Recently, with the rapid development of internet and smart phones, social network services that can create and share various information through relationships among users have been actively used. Especially as the amount of information becomes enormous and unreliable information increases, expert recommendation that can offer necessary information to users have been studied. In this paper, we propose an expert recommendation scheme considering users' interests, human relations, and response quality. The users' interests are evaluated by analyzing their past activities in social network. The human relations are evaluated by extracting the users who have the same interesting fields. The response quality is evaluated by considering the user's response speed and response contents. The proposed scheme determines the user's expert score by combining the users' interests, the human relations, and the response quality. Finally, we recommend proper experts by matching queries and expert groups. It is shown through various performance evaluations that the proposed scheme outperforms the existing schemes.
Keywords
SNS; Expert Recommendation; Expert Search; Interesting Field; Human Relations; Response Quality;
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Times Cited By KSCI : 2  (Citation Analysis)
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