This is our implementation for the paper:

Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation

Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin

at SIGIR, 2022

Environments: Python3, Pytorch 1.9.1, Numpy 1.19.2

Download path of datasets:

Cosmetics: https://www.kaggle.com/mkechinov/ecommerce-events-history-in-cosmeticsshop

Diginetica-buy: https://competitions.codalab.org/competitions/11161

Amazon: http://jmcauley.ucsd.edu/data/amazon/

We also uploaded all three preprocessed datasets under the folder 'datasets'. You can directly use them to reproduce our results. You can also process your own datasets via the preprocess code we provide in the file 'datasets'.

Please cite our paper if you use our codes. Thanks!

@inproceedings{CoHHN,
  author    = {Xiaokun Zhang and
               Bo Xu and
               Liang Yang and
               Chenliang Li and
               Fenglong Ma and
               Haifeng Liu and
               Hongfei Lin},           
  title     = {Price {DOES} Matter!: Modeling Price and Interest Preferences in Session-based
               Recommendation},         
  booktitle = {{SIGIR} '22: The 45th International {ACM} {SIGIR} Conference on Research
               and Development in Information Retrieval, Madrid, Spain, July 11 -
               15, 2022},          
  pages     = {1684--1693},
  year      = {2022},
  crossref  = {DBLP:conf/sigir/2022},
  url       = {https://doi.org/10.1145/3477495.3532043},
  doi       = {10.1145/3477495.3532043},
  biburl    = {https://dblp.org/rec/conf/sigir/ZhangXYLMLL22.bib}
}

In case that you have any difficulty about the implementation or you are interested in our work, please feel free to communicate with us by:

Author: Xiaokun Zhang (kun@mail.dlut.edu.cn / dawnkun1993@gmail.com)

Also, welcome to visit my academic homepage:

https://zhang-xiaokun.github.io/