TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
User Reputation computation Method Based on Implicit Ratings on Social Media |
| 영문제목(English Title) |
User Reputation computation Method Based on Implicit Ratings on Social Media |
| 저자(Author) |
Kyoungsoo Bok
Jinkyung Yun
Yeonwoo Kim
Jongtae Lim
Jaesoo Yoo
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| 원문수록처(Citation) |
VOL 11 NO. 03 PP. 1570 ~ 1594 (2017. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Social network services have recently changed from environments for simply building connections among users to open platforms for generating and sharing various forms of information. Existing user reputation computation methods are inadequate for determining the trust in users on social media where explicit ratings are rare, because they determine the trust in users based on user profile, explicit relations, and explicit ratings. To solve this limitation of previous research, we propose a user reputation computation method suitable for the social media environment by incorporating implicit as well as explicit ratings. Reliable user reputation is estimated by identifying malicious information raters, modifying explicit ratings, and applying them to user reputation scores. The proposed method incorporates implicit ratings into user reputation estimation by differentiating positive and negative implicit ratings. Moreover, the method generates user reputation scores for individual categories to determine a given user’s expertise, and incorporates the number of users who participated in rating to determine a given user’s influence. This allows reputation scores to be generated also for users who have received no explicit ratings, and, thereby, is more suitable for social media. In addition, based on the user reputation scores, malicious information providers can be identified.
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| 키워드(Keyword) |
Social media
user reputation computation
social media activity analysis
trust
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| 파일첨부 |
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