# "Does it come in black?" CLIP-like models are zero-shot recommenders

**Authors:** Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Diogo Goncalves  
**arXiv:** [2204.02473](https://arxiv.org/abs/2204.02473)  
**Date:** 2022-04-05  
**Summary page:** https://www.summarizepaper.com/fr/paper/2204.02473v2/

## Abstract

Product discovery is a crucial component for online shopping. However, item-to-item recommendations today do not allow users to explore changes along selected dimensions: given a query item, can a model suggest something similar but in a different color? We consider item recommendations of the comparative nature (e.g. "something darker") and show how CLIP-based models can support this use case in a zero-shot manner. Leveraging a large model built for fashion, we introduce GradREC and its industry potential, and offer a first rounded assessment of its strength and weaknesses.