Effectiveness of reverse edges and uncertainty in PIN-TRUST for trust prediction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Min-Hee | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.contributor.author | Ha, Jiwoon | - |
dc.date.accessioned | 2022-07-15T05:33:34Z | - |
dc.date.available | 2022-07-15T05:33:34Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2016-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153824 | - |
dc.description.abstract | Recently, PIN-TRUST, a method to predict future trust relationships between users is proposed. PIN-TRUST out-performs existing trust prediction methods by exploiting all types of interactions between users and the reciprocation of ones. In this paper, we validate whether its consideration on the reciprocation of interactions is really effective in trust prediction. Furthermore, we consider a new concept, the "uncertainty" of untrustworthy users that is devised to reflect the difficulty on modeling the activities of untrustworthy users in PIN-TRUST. Then, we also validate the effectiveness this uncertainty concepts. Through the validation, we reveal that the consideration of the reciprocation of interactions is effective for trust prediction with PIN-TRUST, and it is necessary to regard the uncertainty of untrustworthy users same as that of other users. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | Effectiveness of reverse edges and uncertainty in PIN-TRUST for trust prediction | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/3007818.3007827 | - |
dc.identifier.scopusid | 2-s2.0-85018311303 | - |
dc.identifier.bibliographicCitation | ACM International Conference Proceeding Series, pp.81 - 85 | - |
dc.relation.isPartOf | ACM International Conference Proceeding Series | - |
dc.citation.title | ACM International Conference Proceeding Series | - |
dc.citation.startPage | 81 | - |
dc.citation.endPage | 85 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Uncertainty analysis | - |
dc.subject.keywordPlus | Graph mining | - |
dc.subject.keywordPlus | PIN-TRUST | - |
dc.subject.keywordPlus | Trust predictions | - |
dc.subject.keywordPlus | Trust relationship | - |
dc.subject.keywordPlus | Forecasting | - |
dc.subject.keywordAuthor | Graph mining | - |
dc.subject.keywordAuthor | PIN-TRUST | - |
dc.subject.keywordAuthor | Trust prediction | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/3007818.3007827 | - |
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