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Recommended-System-PyTorch

Recommended system(2018-2019)

Data

(Fin)

  1. movielen data
  2. Criteo data

Embedding

(Fin)

  1. sparse features
  2. sequence features
  3. dense features

CTR 模型

(WIP)

model structure
FM FM
FFM FFM
DeepFM-201703 DeepFM
xDeepFM-2018 xDeepFM
AFM-201708 AFM
NFM-201708 NFM
FGCNN-201904 FGCNN
MLR MLR
NFFM NFFM
WDL WDL
PNN-201611 PNN
CIN CIN
CCPM-201510 CCPM
AutoInt-201810 AutoInt
DCN-201708 DCN
DSIN DSIN
FNN-201601 FNN
DIEN DIEN
DIN-201706 DIN

Refrences

  1. 《推荐系统实践》
  2. git@github.com:dawenl/vae_cf.git
  3. git@github.com:eelxpeng/CollaborativeVAE.git
  4. git@github.com:hidasib/GRU4Rec.git
  5. git@github.com:hexiangnan/neural_collaborative_filtering.git
  6. git@github.com:NVIDIA/DeepRecommender.git
  7. shenweichen/DeepCTR

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Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP

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  • Jupyter Notebook 69.6%
  • Python 30.4%