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: