Codes for TOIS Paper: Efficient On-Device Session-Based Recommendation
Datasets are available at Dropbox: https://www.dropbox.com/sh/j12um64gsig5wqk/AAD4Vov6hUGwbLoVxh3wASg_a?dl=0 The datasets are already preprocessed and encoded by pickle.
Environments: Python 3.7, Pytorch 1.6.0, Android Studio 11.0.11, Pytorch Mobile.
Codes are based on RecBole (https://github.com/RUCAIBox/RecBole) and Pytorch Mobile Demo (https://github.com/pytorch/android-demo-app)