Proceedings of the Korean Society of Computer Information Conference (한국컴퓨터정보학회:학술대회논문집)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Collaborative Filtering Recommendation Algorithm Based on LDA2Vec Topic Model

LDA2Vec 항목 모델을 기반으로 한 협업 필터링 권장 알고리즘

  • Xin, Zhang (Dept. of Computer Science and Engineering, Hanyang University) ;
  • Lee, Scott Uk-Jin (Dept. of Computer Science and Engineering, Hanyang University)
  • 장흠 (한양대학교 컴퓨터공학과) ;
  • Published : 2020.07.15
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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.

Keywords