1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . Tensorflow: a system for large-scale machine learning .. In Osdi , Vol. 16 . Savannah, GA, USA, 265--283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. Tensorflow: a system for large-scale machine learning.. In Osdi, Vol. 16. Savannah, GA, USA, 265--283.
2. Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
3. Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
4. Random search for hyper-parameter optimization;Bergstra James;Journal of machine learning research,2012
5. James Bergstra , Daniel Yamins , and David Cox . 2013 . Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures . In International conference on machine learning. PMLR, 115--123 . James Bergstra, Daniel Yamins, and David Cox. 2013. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures. In International conference on machine learning. PMLR, 115--123.