213 0

Full metadata record

DC FieldValueLanguage
dc.contributor.advisor김상욱-
dc.contributor.authorKim, Hyung-ook-
dc.date.accessioned2017-11-29T02:30:21Z-
dc.date.available2017-11-29T02:30:21Z-
dc.date.issued2017-08-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/33666-
dc.identifier.urihttp://hanyang.dcollection.net/common/orgView/200000430859en_US
dc.description.abstractCollaborative 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.publisher한양대학교-
dc.titleAn Efficient and Effective Method to Find Uninteresting Items for Accurate Collaborative Filtering-
dc.title.alternative정확한 협업 필터링을 위해 무관심 아이템을 찾는 효율적이고 효과적인 방법-
dc.typeTheses-
dc.contributor.googleauthor김형욱-
dc.contributor.alternativeauthor김형욱-
dc.sector.campusS-
dc.sector.daehak대학원-
dc.sector.department컴퓨터·소프트웨어학과-
dc.description.degreeMaster-
Appears in Collections:
GRADUATE SCHOOL[S](대학원) > COMPUTER SCIENCE(컴퓨터·소프트웨어학과) > Theses (Ph.D.)
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE