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.
| Original language | English |
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| Title of host publication | WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 351-352 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450327459 |
| DOIs | |
| Publication status | Published - 2014 Apr 7 |
| Event | 23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of Duration: 2014 Apr 7 → 2014 Apr 11 |
Publication series
| Name | WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web |
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Other
| Other | 23rd International Conference on World Wide Web, WWW 2014 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 14/4/7 → 14/4/11 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Software
Cite this
Oh, H. K., Noh, Y., Kim, S. W., & Park, S. (2014). SepaRating: An approach to reputation computation based on rating separation in e-marketplace. In WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web (pp. 351-352). (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web). Association for Computing Machinery, Inc. https://doi.org/10.1145/2567948.2577375