Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상욱 | - |
dc.date.accessioned | 2019-02-13T07:05:48Z | - |
dc.date.available | 2019-02-13T07:05:48Z | - |
dc.date.issued | 2016-10 | - |
dc.identifier.citation | 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Page. 3725-3731 | en_US |
dc.identifier.isbn | 978-1-5090-1897-0 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/7844813?arnumber=7844813&SID=EBSCO:edseee | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/98956 | - |
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. | en_US |
dc.description.sponsorship | This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8501-16-1013) supervised by the IITP(Institute for Information communication Technology Promotion) and the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIP) (NRF-2014R1A2A1A10054151). | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE SMC 2016 | en_US |
dc.subject | Recommendation System | en_US |
dc.subject | Collaborative Filtering | en_US |
dc.subject | Data Imputation | en_US |
dc.subject | Zero-injection | en_US |
dc.title | An Efficient and Effective Method to Find Uninteresting Items for Accurate Collaborative Filtering | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/SMC.2016.7844813 | - |
dc.relation.page | 3725-3731 | - |
dc.contributor.googleauthor | Kim, Hyung-ook | - |
dc.contributor.googleauthor | Ha, Jiwoon | - |
dc.contributor.googleauthor | Kim, Sang-Wook | - |
dc.relation.code | 20160148 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | wook | - |
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