Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Experiment code on Advertising Dataset of paper Deep Session Interest Network for Click-Through Rate Prediction(https://arxiv.org/abs/1905.06482)
Yufei Feng , Fuyu Lv, Weichen Shen and Menghan Wang and Fei Sun and Yu Zhu and Keping Yang.
In Proceedings of 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
pip install -r requirements.txtto setup the operating environment in
0_gen_sampled_data.py, sample the data by user
1_gen_sessions.py, generate historical session sequence for each user
2_gen_din_input.py,generate input data
2_gen_dien_input.py,generate input data(It may take a long time to sample negative samples.)
2_gen_dsin_input.py,generate input data
train_dsin.py> The loss of DSIN with
bias_encoding=Truemay be NaN sometimes on Advertising Dataset and it remains a confusing problem since it never occurs in the production environment.We will work on it and also appreciate your help.
This project is licensed under the terms of the Apache-2 license. See LICENSE for additional details.