Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Collaborative Filtering Recommendation Algorithm Based on LDA2Vec Topic Model

Full metadata record
DC Field Value Language
dc.contributor.authorXin, Zhang-
dc.contributor.authorLee, Scott Uk-Jin-
dc.date.accessioned2021-06-22T06:01:09Z-
dc.date.available2021-06-22T06:01:09Z-
dc.date.issued2020-07-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/989-
dc.description.abstractIn this paper, we propose a collaborative filtering recommendation algorithm based on the LDA2Vec topic model. By extracting and analyzing the article’s content, calculate their semantic similarity then combine the traditional collaborative filtering algorithm to recommend. This approach may promote the system's recommend accuracy.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisher한국컴퓨터정보학회-
dc.titleCollaborative Filtering Recommendation Algorithm Based on LDA2Vec Topic Model-
dc.title.alternativeLDA2Vec 항목 모델을 기반으로 한 협업 필터링 권장 알고리즘-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국컴퓨터정보학회 하계학술대회 논문집, v.28, no.2, pp 385 - 386-
dc.citation.title한국컴퓨터정보학회 하계학술대회 논문집-
dc.citation.volume28-
dc.citation.number2-
dc.citation.startPage385-
dc.citation.endPage386-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor협업 필터링(collaborative filtering)-
dc.subject.keywordAuthor추천 알고리즘(recommendation algorithm)-
dc.subject.keywordAuthorLDA2Vec-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09415049-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > ERICA 컴퓨터학부 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Lee, Scott Uk Jin photo

Lee, Scott Uk Jin
ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE