TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings
(Guo, G., Zhang, J., & Yorke-Smith, N. (2015, January). TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. In Aaai (pp. 123-129).)

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 (under the review paper)
1990~2016 legislative rollcall dataset (from Govtrack.com)

You can download politic_old from https://www.dropbox.com/sh/6gftfkhfvh4zry0/AAD5-6CM1eyH9N_PKLmTzsyya?dl=0
You can download politic_new from https://www.dropbox.com/sh/22owwpamgn4ryzj/AACyMnEDqCMThrhUeVTaXiiya?dl=0