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2022_Summer_RecSys_T11_Ah_Chu

CUAI 5th Summer Conference Project Repository
Check out Paper at
Check out Presentation at Link


👪 Teammates

  • Jungjoon Kim : School of Applied Statistics, Chung-Ang University
  • Yejin Kwon : School of Applied Statistics, Chung-Ang University
  • Gyeongbin Bak : School of Computer Science & Engineering, Chung-Ang University
  • Doyeon Lim : School of Computer Science & Engineering, Chung-Ang University

📄Abstract

Amazon Review Dataset을 이용하여 추천시스템 모델을 구현한다. 그 과정에서 자연어처리 기술을 이용하여 Meta Data의 상품 description 항목을 임베딩하여 성능을 높였다. 또한 최신 모델인 BiVAE를 이용해 성능을 높일 수 있었다.


🔧Models(Paper Link)


🔍Evaluation

MODEL NCF LightFM LightFM(meta) Matrix Factorization Matrix Factorization(meta) BiVAE
MAP 0.004876 0.000179 0.005266 0.016408 0.016474 0.036288
NDCG 0.011440 0.000793 0.015583 0.031498 0.032077 0.085151
PRECISION@K 0.009011 0.000772 0.013203 0.021136 0.020952 0.057221
RECALL@K 0.011217 0.000858 0.017592 0.043550 0.042821 0.058966