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

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

doi:10.1145/2567948.2577375

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

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

Department of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
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	https://doi.org/10.1145/2567948.2577375
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

Other

Other	23rd International Conference on World Wide Web, WWW 2014
Country	Korea, Republic of
City	Seoul
Period	14/4/7 → 14/4/11

Bibliographical note

Publisher Copyright:
© Copyright 2014 by the International World Wide Web Conferences Steering Committee.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software

Access to Document

10.1145/2567948.2577375

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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).

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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",

note = "Publisher Copyright: {\textcopyright} Copyright 2014 by the International World Wide Web Conferences Steering Committee.; 23rd International Conference on World Wide Web, WWW 2014 ; Conference date: 07-04-2014 Through 11-04-2014",

year = "2014",

month = apr,

day = "7",

doi = "10.1145/2567948.2577375",

language = "English",

series = "WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web",

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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 proceeding › Conference contribution

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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.

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M3 - Conference contribution

AN - SCOPUS:84991013863

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

SP - 351

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

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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

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

Abstract

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All Science Journal Classification (ASJC) codes

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