Learning Positional Attention for Sequential Recommendation

This is our TensorFlow implementation for the paper:

Learning Positional Attention for Sequential Recommendation

Link: https://arxiv.org/abs/2407.02793

Please cite our paper if you use the code.

Datasets

The preprocessed datasets are included in the repo (e.g. data/ml-1m.txt), where each line contains an user id and item id (starting from 1) meaning an interaction (sorted by timestamp).

Model Training

To train our model FPARec on ml-1m with default hyper-parameters:

bash scripts/train_fpa.sh

To train our model PARec on ml-1m with default hyper-parameters:

bash scripts/train_pa.sh

Acknowledgement

Our code is developed based on SASRec*