Abstract Cross-city transfer learning aims to apply the knowledge and model from data-rich cities to data-poor cities to solve the cold start problem. Existing methods directly transfer the model constructed from developed cities to underdeveloped cities without considering the similarity between them. which leads to a potential transfer mismatch problem. and in turn. https://parisnaturalfoodes.shop/product-category/coconut-shampoo/