Robust features for trustable aggregation of online ratings
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, Hyun-Kyo | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-15T19:05:14Z | - |
dc.date.available | 2022-07-15T19:05:14Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2016-01 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155294 | - |
dc.description.abstract | When 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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Robust features for trustable aggregation of online ratings | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/2857546.2857560 | - |
dc.identifier.scopusid | 2-s2.0-84965074862 | - |
dc.identifier.bibliographicCitation | ACM IMCOM 2016: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, pp.1 - 7 | - |
dc.relation.isPartOf | ACM IMCOM 2016: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication | - |
dc.citation.title | ACM IMCOM 2016: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 7 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Information management | - |
dc.subject.keywordPlus | Robustness (control systems) | - |
dc.subject.keywordPlus | Sales | - |
dc.subject.keywordPlus | Attackers | - |
dc.subject.keywordPlus | False reputation | - |
dc.subject.keywordPlus | Robust features | - |
dc.subject.keywordPlus | Trust | - |
dc.subject.keywordPlus | Unfair ratings | - |
dc.subject.keywordPlus | Online systems | - |
dc.subject.keywordAuthor | Attackers | - |
dc.subject.keywordAuthor | False reputation | - |
dc.subject.keywordAuthor | Robust features | - |
dc.subject.keywordAuthor | Robustness | - |
dc.subject.keywordAuthor | Trust | - |
dc.subject.keywordAuthor | Unfair ratings | - |
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