An efficient and effective method to find uninteresting items for accurate collaborative filtering
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyung-ook | - |
dc.contributor.author | Ha, Jiwoon | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-14T16:32:11Z | - |
dc.date.available | 2022-07-14T16:32:11Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2017-02 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152926 | - |
dc.description.abstract | Collaborative filtering methods suffer from a data sparsity problem, which indicates that the accuracy of recommendation decreases when the user-item matrix used in recommendation is sparse. To alleviate the data sparsity problem, researches on data imputation have been done. In particular, the zero-injection method, which finds uninteresting items and imputes zero values to those items for collaborative filtering, achieves significant improvement in terms of recommendation accuracy. However, the existing zero-injection method employs the One-Class Collaborative Filtering (OCCF) method that requires a lot of time. In this paper, we propose a fast method that finds uninteresting items rapidly with preserving high recommendation accuracy. Our experimental results show that our method is faster than the existing zero-injection method and also show that the recommendation accuracy using our method is slightly higher than or similar to that of the existing zero-injection method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | An efficient and effective method to find uninteresting items for accurate collaborative filtering | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1109/SMC.2016.7844813 | - |
dc.identifier.scopusid | 2-s2.0-85015809954 | - |
dc.identifier.bibliographicCitation | 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, pp.3725 - 3730 | - |
dc.relation.isPartOf | 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings | - |
dc.citation.title | 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings | - |
dc.citation.startPage | 3725 | - |
dc.citation.endPage | 3730 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Cybernetics | - |
dc.subject.keywordPlus | Recommender systems | - |
dc.subject.keywordPlus | Collaborative filtering methods | - |
dc.subject.keywordPlus | Data imputation | - |
dc.subject.keywordPlus | Data sparsity problems | - |
dc.subject.keywordPlus | Fast methods | - |
dc.subject.keywordPlus | Recommendation accuracy | - |
dc.subject.keywordPlus | User-item matrix | - |
dc.subject.keywordPlus | Zero injections | - |
dc.subject.keywordPlus | Zero values | - |
dc.subject.keywordPlus | Collaborative filtering | - |
dc.subject.keywordAuthor | Collaborative Filtering | - |
dc.subject.keywordAuthor | Data Imputation | - |
dc.subject.keywordAuthor | Recommendation System | - |
dc.subject.keywordAuthor | Zero-injection | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7844813 | - |
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