Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction

Darius Afchar, Romain Hennequin. Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. In Rodrygo L. T. Santos, Leandro Balby Marinho, Elizabeth M. Daly, Li Chen 0009, Kim Falk, Noam Koenigstein, Edleno Silva de Moura, editors, RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020. pages 220-229, ACM, 2020. [doi]

@inproceedings{AfcharH20,
  title = {Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction},
  author = {Darius Afchar and Romain Hennequin},
  year = {2020},
  doi = {10.1145/3383313.3412253},
  url = {https://doi.org/10.1145/3383313.3412253},
  researchr = {https://researchr.org/publication/AfcharH20},
  cites = {0},
  citedby = {0},
  pages = {220-229},
  booktitle = {RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020},
  editor = {Rodrygo L. T. Santos and Leandro Balby Marinho and Elizabeth M. Daly and Li Chen 0009 and Kim Falk and Noam Koenigstein and Edleno Silva de Moura},
  publisher = {ACM},
  isbn = {978-1-4503-7583-2},
}