Collaborative Denoising Autoencoder (CDAE) (Wu, Y., DuBois, C., Zheng, A. X., & Ester, M. (2016, February). Collaborative denoising auto-encoders for top-n recommender systems. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (pp. 153-162). ACM.) Python (Tensorflow) Implementation Dataset : politic_old and politic_new (legislative roll-call dataset) politic_old : made by Yupeng Gu (Gu, Y., Sun, Y., Jiang, N., Wang, B., & Chen, T. (2014, August). Topic-factorized ideal point estimation model for legislative voting network. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 183-192). ACM.) 1990~2013 legislative rollcall dataset (THOMAS) politic_new : made by Kyungwoo Song (Neural Ideal Point Estimation Network (AAAI-18)) 1990~2016 legislative rollcall dataset (from Govtrack.com) You can download politic_old from https://github.com/gtshs2/NIPEN/tree/master/data/politic_old You can download politic_new from https://github.com/gtshs2/NIPEN/tree/master/data/politic_new
gtshs2/Collaborative-Denoising-Auto-Encoder
Collaborative Denoising Auto-Encoder for Top-N Recommender Systems (CDAE)
Python