no code implementations • 26 Mar 2020 • Dongdong Yang, Kevin Dyer, Senzhang Wang
DeepMTA mainly contains two parts, the phased-LSTMs based conversion prediction model to catch different time intervals, and the additive feature attribution model combined with shaley values.