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

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

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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