/CSRM_SIGIR2019

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules, SIGIR 2019

Primary LanguagePython

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules

Implementation for：

Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma, and Maarten de Rijke. 2019. A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. In Proceedings of The 42nd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’19).

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

Running：

python main.py

Requirements:

  • Python 2.7
  • TensorFlow

Datasets

YOOCHOOSE: http://2015.recsyschallenge.com/challenge.html

LastFM: https://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/lastfm-1K.html

Processing code

  • python DataAfterPrepreprocess.py
  • python lastfm_preprocess.py