Fashion Recommendation: Outfit Compatibility using GNN

arXiv:2404.18040v1 Announce Type: new
Abstract: Numerous industries have benefited from the use of machine learning and fashion in industry is no exception. By gaining a better understanding of what makes a good outfit, companies can provide useful product recommendations to their users. In this project, we follow two existing approaches that employ graphs to represent outfits and use modified versions of the Graph neural network (GNN) frameworks. Both Node-wise Graph Neural Network (NGNN) and Hypergraph Neural Network aim to score …

abstract arxiv companies cs.cl exception fashion gnn good graphs industries industry machine machine learning product project recommendation recommendations type understanding