SepaRating: An approach to reputation computation based on rating separation in e-marketplace

Hyun Kyo Oh, Yoohan Noh, Sang Wook Kim, Sunju Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages351-352
Number of pages2
ISBN (Electronic)9781450327459
DOIs
Publication statusPublished - 2014 Apr 7
Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
Duration: 2014 Apr 72014 Apr 11

Publication series

NameWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Other

Other23rd International Conference on World Wide Web, WWW 2014
CountryKorea, Republic of
CitySeoul
Period14/4/714/4/11

Fingerprint

Experiments

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
Oh, Hyun Kyo ; Noh, Yoohan ; Kim, Sang Wook ; Park, Sunju. / SepaRating : An approach to reputation computation based on rating separation in e-marketplace. WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 2014. pp. 351-352 (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).
@inproceedings{0331e28418044bb2bad4bb22b754e1ea,
title = "SepaRating: An approach to reputation computation based on rating separation in e-marketplace",
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.",
author = "Oh, {Hyun Kyo} and Yoohan Noh and Kim, {Sang Wook} and Sunju Park",
year = "2014",
month = "4",
day = "7",
doi = "10.1145/2567948.2577375",
language = "English",
series = "WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web",
publisher = "Association for Computing Machinery, Inc",
pages = "351--352",
booktitle = "WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web",

}

Oh, HK, Noh, Y, Kim, SW & 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. WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web, Association for Computing Machinery, Inc, pp. 351-352, 23rd International Conference on World Wide Web, WWW 2014, Seoul, Korea, Republic of, 14/4/7. https://doi.org/10.1145/2567948.2577375

SepaRating : An approach to reputation computation based on rating separation in e-marketplace. / Oh, Hyun Kyo; Noh, Yoohan; Kim, Sang Wook; Park, Sunju.

WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 2014. p. 351-352 (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - SepaRating

T2 - An approach to reputation computation based on rating separation in e-marketplace

AU - Oh, Hyun Kyo

AU - Noh, Yoohan

AU - Kim, Sang Wook

AU - Park, Sunju

PY - 2014/4/7

Y1 - 2014/4/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84991013863&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84991013863&partnerID=8YFLogxK

U2 - 10.1145/2567948.2577375

DO - 10.1145/2567948.2577375

M3 - Conference contribution

AN - SCOPUS:84991013863

T3 - WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

SP - 351

EP - 352

BT - WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

PB - Association for Computing Machinery, Inc

ER -

Oh HK, Noh Y, Kim SW, Park S. 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. Association for Computing Machinery, Inc. 2014. p. 351-352. (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web). https://doi.org/10.1145/2567948.2577375