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Lee, Soobin
- Hybrid WOM Collection and Visualization Method for Reputation Rating in Online Community
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raters. This problem could be solved if there is a third party to guide the candidates involved in the online transaction.
Online source of information about web documents need many users’ evaluations. Such information can be available for
other users. The feedback of the users can reorganize the group and refine the knowledge level that a group of human
experts provide. We generate Word of Mouth (WOM) metrics and show the reputation as allegorical figuration by 3D
graphic visualization. We found out possible WOM candidate and they can provoke the opinions.
Authors
Affiliations
1 Department of Digital Media, Soongeui Women’s College, Seoul - 100 751, KR
2 Institute for Information Technology Convergence, KAIST, Daejeon - 305 701, KR
3 School of Computer Engineering, Dongyang Mirae University, Seoul - 152 714, KR
1 Department of Digital Media, Soongeui Women’s College, Seoul - 100 751, KR
2 Institute for Information Technology Convergence, KAIST, Daejeon - 305 701, KR
3 School of Computer Engineering, Dongyang Mirae University, Seoul - 152 714, KR
Source
Indian Journal of Science and Technology, Vol 8, No 18 (2015), Pagination:Abstract
Recently, the websites involved in online transaction lacks explicit information on the reputation of the users acting asraters. This problem could be solved if there is a third party to guide the candidates involved in the online transaction.
Online source of information about web documents need many users’ evaluations. Such information can be available for
other users. The feedback of the users can reorganize the group and refine the knowledge level that a group of human
experts provide. We generate Word of Mouth (WOM) metrics and show the reputation as allegorical figuration by 3D
graphic visualization. We found out possible WOM candidate and they can provoke the opinions.