Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상욱 | - |
dc.date.accessioned | 2017-10-23T07:24:49Z | - |
dc.date.available | 2017-10-23T07:24:49Z | - |
dc.date.issued | 2015-12 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v. 45, NO 12, Page. 1564-1576 | en_US |
dc.identifier.issn | 2168-2216 | - |
dc.identifier.issn | 2168-2232 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/document/7083723/ | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/30201 | - |
dc.description.abstract | The average of customer ratings on a product, which we call a reputation, is one of the key factors in online purchasing decisions. There is, however, no guarantee of the trustworthiness of a reputation since it can be manipulated rather easily. In this paper, we define false reputation as the problem of a reputation being manipulated by unfair ratings and design a general framework that provides trustworthy reputations. For this purpose, we propose TRUE-REPUTATION, an algorithm that iteratively adjusts a reputation based on the confidence of customer ratings. We also show the effectiveness of TRUE-REPUTATION through extensive experiments in comparisons to state-of-the-art approaches. | en_US |
dc.description.sponsorship | This work was supported in part by the National Research Foundation of Korea (NRF) through the Korean Government under Grant NRF-2014S1A3A2044046, in part by the Ministry of Science, ICT and Future Planning (MSIP), Korea, under Information Technology Research Center Support Program NIPA-2014-H0301-14-1022 supervised by the National IT Industry Promotion Agency (NIPA), in part by Semiconductor Industry Collaborative Project between Hanyang University and Samsung Electronics Company Ltd., and in part by the NRF through the Korean Government (MSIP) under Grant NRF-2014R1A2A1A10054151. This paper was recommended by Associate Editor J. Lu. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | False reputation | en_US |
dc.subject | robustness | en_US |
dc.subject | trust | en_US |
dc.subject | unfair ratings | en_US |
dc.title | Can You Trust Online Ratings? A Mutual Reinforcement Model for Trustworthy Online Rating Systems | en_US |
dc.type | Article | en_US |
dc.relation.no | 12 | - |
dc.relation.volume | 45 | - |
dc.identifier.doi | 10.1109/TSMC.2015.2416126 | - |
dc.relation.page | 1564-1576 | - |
dc.relation.journal | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | - |
dc.contributor.googleauthor | Oh, Hyun-Kyo | - |
dc.contributor.googleauthor | Kim, Sang-Wook | - |
dc.contributor.googleauthor | Park, Sunju | - |
dc.contributor.googleauthor | Zhou, Ming | - |
dc.relation.code | 2015001717 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | wook | - |
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