tsinghua-fib-lab / WWW2023-DFAR

Dual-interest Factorization-heads Attention for Sequential Recommendation

This is our TensorFlow implementation for the paper:

Dual-interest Factorization-heads Attention for Sequential Recommendation

The code is tested under a Linux desktop with TensorFlow 1.12.3 and Python 3.6.8.

Data Pre-processing

The script is reco_utils/dataset/sequential_reviews.py which can be excuted via:

python examples/00_quick_start/sequential.py --is_preprocessing True

Model Training

To train our model on Amazon dataset (with default hyper-parameters):

python examples/00_quick_start/sequential.py

Misc

The implemention of self attention is modified based on TensorFlow framework of Microsoft.