SepaRating: An approach to reputation computation based on rating separation in e-marketplace
- Authors
- Oh, Hyun-Kyo; Noh, Yoohan; Kim, Sang-Wook; Park, Sunju
- Issue Date
- Apr-2014
- Publisher
- Association for Computing Machinery, Inc
- Keywords
- E-marketplace; Rating separation; Reputation system; Trust
- Citation
- WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web, pp.351 - 352
- Indexed
- SCOPUS
- Journal Title
- WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
- Start Page
- 351
- End Page
- 352
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160245
- DOI
- 10.1145/2567948.2577375
- ISSN
- 0000-0000
- Abstract
- This paper proposes SepaRating, a novel mechanism that separates a buyer's rating on a transaction into two kinds of scores: seller's score and item's score. SepaRating pro- vides the reputation of sellers correctly based on the seller's score by repetitive separations, which helps potential buyers to find more reliable sellers. We verify the effectiveness of SepaRating via a series of experiments.
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