论文标题
“它是黑色的吗？”类似夹子的模型是零拍的推荐程序
"Does it come in black?" CLIP-like models are zero-shot recommenders
论文作者
论文摘要
产品发现是在线购物的关键组成部分。但是，当今项目到项目的建议不允许用户探索沿选定维度的更改：给定查询项目，模型可以建议类似但具有不同颜色的东西吗？我们考虑了比较性质的项目建议（例如“更黑暗的东西”），并显示基于夹的模型如何以零摄像的方式支持此用例。利用为时尚建立的大型模型，我们引入了Gradrec及其行业潜力，并对其实力和劣势进行了首次圆形评估。
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.
