A hybrid recommendation system using trust scores in a social network
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, S.-C. | - |
dc.contributor.author | Park, C.-S. | - |
dc.contributor.author | Kim, S.K. | - |
dc.date.accessioned | 2021-10-15T05:40:16Z | - |
dc.date.available | 2021-10-15T05:40:16Z | - |
dc.date.issued | 2012-09 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.issn | 1876-1119 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/50277 | - |
dc.description.abstract | Various techniques for personalized recommendation have been studied. One of the most promising such techniques is collaborative filtering (CF). However, CF is unable to produce high quality recommendations when user rating data is lacking or insufficient. To address this sparsity problem of CF systems, this paper proposes a hybrid recommendation system. The proposed system improves recommendation quality by exploiting trust scores between users in a social network. The proposed system overcomes the weakness of CF for sparse user ratings databases and yields better performance than the conventional CF method. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | A hybrid recommendation system using trust scores in a social network | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-94-007-5076-0_12 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, v.181 LNEE, pp 107 - 112 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84867478314 | - |
dc.citation.endPage | 112 | - |
dc.citation.startPage | 107 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 181 LNEE | - |
dc.type.docType | Conference Paper | - |
dc.publisher.location | 독일 | - |
dc.subject.keywordAuthor | Collaborative Filtering | - |
dc.subject.keywordAuthor | Recommendation System | - |
dc.subject.keywordAuthor | Social Network | - |
dc.subject.keywordAuthor | Trust scores | - |
dc.subject.keywordPlus | Collaborative filtering | - |
dc.subject.keywordPlus | High quality | - |
dc.subject.keywordPlus | Hybrid recommendation | - |
dc.subject.keywordPlus | Personalized recommendation | - |
dc.subject.keywordPlus | Social Networks | - |
dc.subject.keywordPlus | Trust scores | - |
dc.subject.keywordPlus | User rating | - |
dc.subject.keywordPlus | Recommender systems | - |
dc.subject.keywordPlus | Social networking (online) | - |
dc.description.journalRegisteredClass | scopus | - |
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