Do you know for each category near / far view has an impact on click-to-view conversion
Challenge - How do we know similar products?
Solution - Build vectors of text for each category/features/images. measuring distances between vector representations of products in an embedding space. Features for image vector - product image and the product title
Challenge - How do you change/customize catalog?
Solution - The title provides context that helps the model focus on the relevant regions of the image. Based on it remove the background / zoom it
Challenge - How does the solution look like? How many models?
Solution - Global network takes the whole image as input and based on the product title, it determines which portion of the image to focus on. That information is used to crop the input image, and the cropped image passes to the local branch.
From Ref - Using computer vision to weed out product catalogue errors
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