Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022

Last update: Dec 02, 2022

Related tags

Deep Learning CoHHN

Overview

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.

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

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 ([email protected] / [email protected])

Owner

Xiaokun Zhang

GitHub Repository

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