043-compressed-interaction-graph-based-framework-for-multi-behavior-recommendation
Science Score: 18.0%
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Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: Python
- Default Branch: main
- Size: 36.7 MB
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- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2023/043-Compressed-Interaction-Graph-based-Framework-for-Multi-Behavior-Recommendation/blob/main/
# Reproduction Report of the Compressed Interaction Graph based Framework for Muti-behavior Recommendation
## Environment
The codes of CIGF are implemented and tested under the following development environment:
* python=3.6.12
* tensorflow=1.14.0
* numpy=1.16.0
* scipy=1.5.2
## Datasets
Utilized three datasets to evaluate CIGF: Beibei, Tmall, and JD. The purchase behavior is taken as the target behavior for all datasets. The last target behavior for the test users are left out to compose the testing set.
## Just Run It
* JD
```
python base_framework_origin_final.py --data JD
* Beibei
```
python base_framework_origin_final.py --data beibei
```
* Tmall
```
python base_framework_origin_final.py --data tmall --gnn_layer 4
```
## Citation
cite:
```
@inproceedings{cigf,
title={Compressed Interaction Graph based Framework for Multi-behavior Recommendation},
author={Guo, Wei and Meng, Chang and Yuan, Enming and He, Zhicheng and Guo, Huifeng and Zhang, Yingxue and Chen, Bo and Hu, Yaochen and Tang, Ruiming and Li, Xiu and others},
booktitle={Proceedings of the ACM Web Conference 2023},
pages={960--970},
year={2023}
}
```
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@article{REPO043,
author = "Guo, Wei and Meng, Chang and Yuan, Enming and He, Zhicheng and Guo, Huifeng and Zhang, Yingxue and Chen, Bo and Hu, Yaochen and Tang, Ruiming and Li, Xiu and others",
journal = "arXiv preprint arXiv:2303.02418",
title = "{Compressed Interaction Graph based Framework for Multi-behavior Recommendation}",
year = "2023"
}