TGIF

Less is More: A Streamlined Graph-Based Fashion Outfit Recommendation without Multimodal Dependency

SAC 2024

Graph-based fasion recommendation

How to run

dataset

• Put all original dataset into dataset directory

Docker Container

• Docker container use cgmc project directory as volume
• File change will be apply directly to file in docker container

Preprocessing

1. make up : build docker image and start docker container
2. python3 src/preprocessing.py : start data preprocessing in docker container

Train

1. make up : build docker image and start docker container
2. check train_config/train_list.ymal file
3. python3 src/train.py : start train in docker container

Test

1. make up : build docker image and start docker container
2. check test_config/test_list.ymal file
3. python3 src/test.py : start train in docker container

Citation

@inproceedings{less_is_more_2024
author = {Kim, Daehee and Han, Donghee and Roh, Daeyoung and Han, Keejun and Yi, Mun Yong},
title = {Less is More: A Streamlined Graph-Based Fashion Outfit Recommendation without Multimodal Dependency},
year = {2024},
isbn = {9798400702433},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3605098.3636168},
doi = {10.1145/3605098.3636168},
series = {SAC '24}
}