# Attention-based Fusion for Outfit Recommendation

arXiv: https://arxiv.org/abs/1908.10585 · HTML: https://mlsanity.com/paper/1908.10585/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Aug 2019.

## Built on by (most cited first, 2 of 2)

- [fAshIon after fashion: A Report of AI in Fashion](https://mlsanity.com/paper/2105.03050/) (2021)
- [Outfit Generation and Recommendation -- An Experimental Study](https://mlsanity.com/paper/2211.16353/) (2022)

## Abstract (arXiv)

This paper describes an attention-based fusion method for outfit recommendation which fuses the information in the product image and description to capture the most important, fine-grained product features into the item representation. We experiment with different kinds of attention mechanisms and demonstrate that the attention-based fusion improves item understanding. We outperform state-of-the-art outfit recommendation results on three benchmark datasets.