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Collaborative Filtering Recommendation Algorithm Based on LDA2Vec Topic ModelLDA2Vec 항목 모델을 기반으로 한 협업 필터링 권장 알고리즘

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LDA2Vec 항목 모델을 기반으로 한 협업 필터링 권장 알고리즘
Authors
Xin, ZhangLee, Scott Uk-Jin
Issue Date
Jul-2020
Publisher
한국컴퓨터정보학회
Keywords
협업 필터링(collaborative filtering); 추천 알고리즘(recommendation algorithm); LDA2Vec
Citation
한국컴퓨터정보학회 하계학술대회 논문집, v.28, no.2, pp 385 - 386
Pages
2
Indexed
OTHER
Journal Title
한국컴퓨터정보학회 하계학술대회 논문집
Volume
28
Number
2
Start Page
385
End Page
386
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/989
Abstract
In 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.
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ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
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