hhh920406/dsin

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

Deep Session Interest Network

Operating environment

• python==3.6
• tensorflow-gpu==1.4.0
• deepctr==0.4.0.post0
• numpy==1.15.1
• pandas==0.22.0
• scikit-learn==0.19.2
• tqdm==4.19.5

Download dataset and preprocess

Download dataset

1. Download Dataset Ad Display/Click Data on Taobao.com
2. Extract the files into the raw_data directory

Data preprocessing

1. run 0_gen_sampled_data.py, sample the data by user
2. run 1_gen_sessions.py, generate historical session sequence for each user

Training and Evaluation

Train DIN model

1. run 2_gen_din_input.py,generate input data
2. run train_din.py

Train DIEN model

1. run 2_gen_dien_input.py,generate input data(since the code is not optimized, this may take a long time to sample negative samples when setting DIEN_NEG_SAMPLING = True in config.py)
2. run train_dien.py

Train DSIN model

1. run 2_gen_dsin_input.py,generate input data
2. run train_dsin.py

If the loss during the training is abnormally large, please restart the training process or change the seed.