Indian Journal of Science and Technology

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Hybrid WOM Collection and Visualization Method for Reputation Rating in Online Community


Affiliations
1 Department of Digital Media, Soongeui Women’s College, Seoul - 100 751, Korea, Republic of
2 Institute for Information Technology Convergence, KAIST, Daejeon - 305 701, Korea, Republic of
3 School of Computer Engineering, Dongyang Mirae University, Seoul - 152 714, Korea, Republic of
 

Recently, the websites involved in online transaction lacks explicit information on the reputation of the users acting as
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.

Keywords

Online Community, Reputation Rating, Reputation Systems, Visualization, WOM Collection
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  • Hybrid WOM Collection and Visualization Method for Reputation Rating in Online Community

Abstract Views: 179  |  PDF Views: 0

Authors

Seawoo Kim
Department of Digital Media, Soongeui Women’s College, Seoul - 100 751, Korea, Republic of
Soobin Lee
Institute for Information Technology Convergence, KAIST, Daejeon - 305 701, Korea, Republic of
Hwansoo Kang
School of Computer Engineering, Dongyang Mirae University, Seoul - 152 714, Korea, Republic of
Jinhyung Cho
School of Computer Engineering, Dongyang Mirae University, Seoul - 152 714, Korea, Republic of

Abstract


Recently, the websites involved in online transaction lacks explicit information on the reputation of the users acting as
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.

Keywords


Online Community, Reputation Rating, Reputation Systems, Visualization, WOM Collection



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i18%2F114797