Recommender_system_via_deep_RL
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backgom2357
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.
Deep Reinforcement Learning based Recommender System in Tensorflow
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al. Build recommender system with DDPG algorithm. Add state representation module to produce trainable state for RL algorithm from data.
Dataset
unzip ./ml-1m.zip
Procedure
Trying to improve performance of RL based recommender system. The report contains the result of Using the actor network with embedding layer, reducing overestimated Q value, using several pretrained embedding and applying PER.
Result
Please check here - Experiment Report (Korean)
- for evalutation data
- precision@5 : 0.479, ndcg@5 : 0.471
- precision@10 : 0.444, ndcg@10 : 0.429
Usage
Training
python train.py
Evalutation
Follow evaluation.ipynb
requirements
tensorflow==2.2.0
scikit-learn==0.23.2
matplotlib==3.3.3
reference
https://github.com/LeejwUniverse/RL_Rainbow_Pytorch
https://github.com/kyunghoon-jung/MacaronRL
https://github.com/pasus/Reinforcement-Learning-Book
Metadata
Owner
backgom2357
Metadata
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.