Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
A method for recommending the latest news articles via minhash and LSH
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hwang, Sang-Wook | - |
| dc.contributor.author | Park, Jung | - |
| dc.contributor.author | Kim, Won-Seok | - |
| dc.date.accessioned | 2022-07-16T00:53:46Z | - |
| dc.date.available | 2022-07-16T00:53:46Z | - |
| dc.date.created | 2021-05-13 | - |
| dc.date.issued | 2015-01 | - |
| dc.identifier.issn | 0000-0000 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158083 | - |
| dc.description.abstract | Since most users are more interested in the latest news articles that are recently updated, it is important to recommend those news articles to appropriate users. However, existing methods cannot recommend the latest news articles in a short time. This paper proposes a novel recommendation method focusing on the latest news articles. It spends much shorter execution time than the existing methods thanks to employing two approximation methods, MinHash and locality sensitive hashing. For evaluation, we conducted extensive experiments using a real-world dataset. The experimental results show that our method provides better accuracy and performs much faster than the existing methods. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Association for Computing Machinery, Inc | - |
| dc.title | A method for recommending the latest news articles via minhash and LSH | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Kim, Won-Seok | - |
| dc.identifier.doi | 10.1145/2701126.2701205 | - |
| dc.identifier.scopusid | 2-s2.0-84926225722 | - |
| dc.identifier.bibliographicCitation | ACM IMCOM 2015 - Proceedings, pp.1 - 6 | - |
| dc.relation.isPartOf | ACM IMCOM 2015 - Proceedings | - |
| dc.citation.title | ACM IMCOM 2015 - Proceedings | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 6 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Approximation methods | - |
| dc.subject.keywordPlus | Locality sensitive hashing | - |
| dc.subject.keywordPlus | LSH | - |
| dc.subject.keywordPlus | MinHash | - |
| dc.subject.keywordPlus | News articles | - |
| dc.subject.keywordPlus | Real-world | - |
| dc.subject.keywordPlus | Recommendation methods | - |
| dc.subject.keywordPlus | Information management | - |
| dc.subject.keywordAuthor | Latest News Articles | - |
| dc.subject.keywordAuthor | LSH | - |
| dc.subject.keywordAuthor | MinHash | - |
| dc.subject.keywordAuthor | News Articles | - |
| dc.subject.keywordAuthor | Recommendation Method | - |
| dc.identifier.url | https://dl.acm.org/doi/10.1145/2701126.2701205 | - |
- Files in This Item
- Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Kim, Sang-Wook
- COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)