252 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author김상욱-
dc.date.accessioned2017-11-13T00:53:04Z-
dc.date.available2017-11-13T00:53:04Z-
dc.date.issued2016-01-
dc.identifier.citationACM IMCOM 2016: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, Article number a13, Page. 1-7en_US
dc.identifier.isbn978-145034142-4-
dc.identifier.urihttps://dl.acm.org/citation.cfm?doid=2857546.2857560-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/30635-
dc.description.abstractWhen purchasing an online product, customers tend to be influenced strongly by its reputation, the aggregation of customers' ratings on the product. The reputation, however, is not always trustable since it can be easily manipulated by attackers. In this paper, we first address identifying trustable users on a given product in online rating systems, and computing its true reputation by aggregating only their ratings. In order to find these trustable users, we list candidate user features significantly related to the trustworthiness of users and verify the robustness of each user feature through extensive experiments. © 2016 ACM.en_US
dc.description.sponsorshipThis research was supported by (1) the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-H8501-15-1013) supervised by the DTP (Institute for Information & communication Technology Promotion) and (2) the ICT R&D program of MSIP/IITP [B0101-15-0266, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis] and (3) the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2014R1A2A1A10054151).en_US
dc.language.isoenen_US
dc.publisherACM IMCOM 2016en_US
dc.subjectTrusten_US
dc.subjectFalse reputationen_US
dc.subjectRobustnessen_US
dc.subjectRobust featuresen_US
dc.subjectUnfair ratingsen_US
dc.subjectAttackersen_US
dc.titleRobust Features for Trustable Aggregation of Online Ratingsen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/2857546.2857560-
dc.relation.page1-7-
dc.contributor.googleauthorOh, Hyun-Kyo-
dc.contributor.googleauthorKim, Sang-Wook-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidwook-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE