My understanding is deepmatcher is designed for classification of pairs if they represent the same entity. In typical projects, say we have a product to add to the store -- we want to check if the product already exists in the store. During this inference, the product needs to be scored with respect to each item in the catalogue, which is computationally very expensive. What are the suggestions for optimization of this inference setup?
My understanding is deepmatcher is designed for classification of pairs if they represent the same entity. In typical projects, say we have a product to add to the store -- we want to check if the product already exists in the store. During this inference, the product needs to be scored with respect to each item in the catalogue, which is computationally very expensive. What are the suggestions for optimization of this inference setup?