SimCC-AT: A method to compute similarity of scientific papers with automatic parameter tuning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hamedani, Masoud Reyhani | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-15T14:27:19Z | - |
dc.date.available | 2022-07-15T14:27:19Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2016-07 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154281 | - |
dc.description.abstract | In this paper, we propose SimCC-AT (similarity based on content and citations with automatic parameter tuning) to compute the similarity of scientific papers. As in SimCC, the state-of-the-art method, we exploit a notion of a contribution score in similarity computation. SimCC-AT utilizes an automatic weighting scheme based on SVMrank and thus requires only a smaller number of experiments for parameter tuning than SimCC. Furthermore, our experimental results with a real-world dataset show that the accuracy of SimCC-AT is dramatically higher than that of other existing methods and is comparable to that of SimCC. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | SimCC-AT: A method to compute similarity of scientific papers with automatic parameter tuning | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/2911451.2914715 | - |
dc.identifier.scopusid | 2-s2.0-84980359274 | - |
dc.identifier.bibliographicCitation | SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.1005 - 1008 | - |
dc.relation.isPartOf | SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval | - |
dc.citation.title | SIGIR 2016 - Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval | - |
dc.citation.startPage | 1005 | - |
dc.citation.endPage | 1008 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Automatic weighting | - |
dc.subject.keywordPlus | Citations | - |
dc.subject.keywordPlus | Content | - |
dc.subject.keywordPlus | Contribution score | - |
dc.subject.keywordPlus | Similarity | - |
dc.subject.keywordPlus | Information retrieval | - |
dc.subject.keywordAuthor | Automatic weighting | - |
dc.subject.keywordAuthor | Citations | - |
dc.subject.keywordAuthor | Content | - |
dc.subject.keywordAuthor | Contribution score | - |
dc.subject.keywordAuthor | Similarity | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/2911451.2914715 | - |
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