# ACLCDR-Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation
Tensorflow Implementation of ACLCDR：Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation. 

Deep Double Q-learning Network (DDQN) implentation referred to [github](https://github.com/jihoonerd/Deep-Reinforcement-Learning-with-Double-Q-learning)

The code is partially referred to 
1. BiTGCF-Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks. CIKM'20 [github](https://github.com/sunshinelium/Bi-TGCF)
2. SGL-Self-supervised Graph Learning for Recommendation SIGIR'21 [github](https://github.com/wujcan/SGL-TensorFlow)
3. NGCF-Neural Graph Collaborative Filtering SIGIR'19 [github](https://github.com/xiangwang1223/neural_graph_collaborative_filtering)


## Dataset
Download .csv file (rating only) from [Amazon](http://jmcauley.ucsd.edu/data/amazon/).